$course$/top/Default for MSII/Test #3 $course$/top/Default for MSII/Test #3/L17 -- Divisibility L17-boxing product A company produces {items} {itemName} each day.   Each box holds {box} {itemName}.  ]]> {items}÷{box}={divAns}

{feedback}

]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. none 0 1 0 1 ans _err == 0 1 1

After filling as many boxes as possible, will there be left over {itemName} to box the following day? {_0:choice}

]]> L17-Parts-Div by 2,3,4,5,6,7,8,9,10 (3 digit number) Determine if {disNum} is divisible by 2,3,4,5,6,7,8,9, and 10.]]> 9.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. p1={1:10:1}; p2={1:10:1}; p3={1:10:1}; p4={1:10:1}; p5={1:10:1}; p6={1:10:1}; p7={1:10:1}; p8={1:10:1}; p9={0:10:1}; abc 0 1 0 1 is not divisible by two.","The number is divisible by two.");]]> D2 _err == 0 1 1 Divisible by 2: {_0:choice:MCE}

]]> The last digit is {lastDigit}.
The divisibility test for 2 states: A number is divisible by 2 if the number ends in 0,2,4,6,8.
{FB2}]]> 1 1 0 1 is not divisible by three.","The number is divisible by three."); div3=floor(sumNum/3); rem3=(sumNum%3);]]> D3 _err == 0 1 1 Divisible by 3: {_0:choice:MCE}

]]> The divisibility test for 3 states: A number is divisible by 3 if the sum of the digits is divisible by 3.

The sum of the digits, {sumText} = {sumNum}.

{sumNum}  ÷ 3 = {div3} with a remainder of {rem3}

{FB3}

]]> 2 1 0 1 is not divisible by four.","The number is divisible by four."); div4=floor((p8*10+p9)/4); rem4=(p8*10+p9)%4;]]> D4 _err == 0 1 1 Divisible by 4: {_0:choice:MCE}

]]>

The divisibility test for 4 states: A number is divisible by 4 if the last two digits are divisible by 4.

The last two digits make the number {p8}{p9}.

{p8}{p9}  ÷ 4 = {div4} with a remainder of {rem4}

{FB4}


]]> 3 1 0 1 is not divisible by five.","The number is divisible by five.");]]> D5 _err == 0 1 1 Divisible by 5: {_0:choice:MCE}

]]>

The last digit is {lastDigit}.
The divisibility test for 5 states: A number is divisible by 5 if the number ends in 0 or 5.
{FB5}



]]> 4 1 0 1 is not divisible by six.","The number is divisible by six.");]]> D6 _err == 0 1 1 Divisible by 6: {_0:choice:MCE}

]]>

The divisibility test for 6 states: A number is divisible by 6 if the number is divisible by both 2 and 3.

Is the number divisible by 2? {=choice[D2]}

Is the number divisible by 3? {=choice[D3]}

{FB6}


]]> 5 1 0 1 is not divisible by seven.","The number is divisible by seven."); div7=floor(sumNum/7); rem7=(sumNum%7);]]> D7 _err == 0 1 1 Divisible by 7: {_0:choice:MCE}

]]>

There is no divisibility test for 7.

Divide the number by 7:     

{num} ÷ 7 = {div7} with a remainder of {rem7}

{FB7}


]]> 6 1 0 1 is not divisible by eight.","The number is divisible by eight."); div8=floor((p7*100+p8*10+p9)/8); rem8=(p7*100+p8*10+p9)%8;]]> D8 _err == 0 1 1 Divisible by 8: {_0:choice:MCE}

]]>

The divisibility test for 8 states: A number is divisible by 8 if the last three digits are divisible by 8.

The last two digits make the number {p7}{p8}{p9}.

{p7}{p8}{p9}  ÷ 8 = {div8} with a remainder of {rem8}

{FB8}.


]]> 7 1 0 1 is not divisible by nine.","The number is divisible by nine."); div9=floor(sumNum/9); rem9=(sumNum%9);]]> D9 _err == 0 1 1 Divisible by 9: {_0:choice:MCE}

]]>

The divisibility test for 9 states: A number is divisible by 9 if the sum of the digits is divisible by 9.

The sum of the digits, {sumText} = {sumNum}.

{sumNum}  ÷ 9 = {div9} with a remainder of {rem9}

{FB9}


]]> 8 1 0 1 is not divisible by ten.","The number is divisible by ten.");]]> D10 _err == 0 1 1 Divisible by 10: {_0:choice:MCE}

]]>

The divisibility test for 10 states: A number is divisible by 10 if the last digit is zero.

{FB10}


]]> L17-students Trip-Divisibility - Problem Solving The {grade} grade students in {schoolName} are taking a trip to {location}.  The adult leaders separated the {students} students into groups of {groupSize}.  How many groups of {groupSize} are there?  How any children are left over?]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. groups=floor(students/groupSize); left=students%groupSize; abc 0 1 0 2 [groups,left] _err == 0 1 1 There are {_0} groups of {groupSize}
There are {_1} students left over.]]> M3-L17-Parts-Div by 2,3,4,5,6,7,8,9,10 (large #) Determine if {disNumMil},{disNumThous},{disNum} is divisible by 2,3,4,5,6,7,8,9, and 10.]]> 9.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. p1={1:10:1}; p2={1:10:1}; p3={1:10:1}; p4={1:10:1}; p5={1:10:1}; p6={1:10:1}; p7={1:10:1}; p8={1:10:1}; p9={0:10:1}; abc 0 1 0 1 is not divisible by two.","The number is divisible by two.");]]> D2 _err == 0 1 1 Divisible by 2: {_0:choice:MCE}

]]> The last digit is {lastDigit}.
The divisibility test for 2 states: A number is divisible by 2 if the number ends in 0,2,4,6,8.
{FB2}]]> 1 1 0 1 is not divisible by three.","The number is divisible by three."); div3=floor(sumNum/3); rem3=(sumNum%3);]]> D3 _err == 0 1 1 Divisible by 3: {_0:choice:MCE}

]]> The divisibility test for 3 states: A number is divisible by 3 if the sum of the digits is divisible by 3.

The sum of the digits, {sumText} = {sumNum}.

{sumNum}  ÷ 3 = {div3} with a remainder of {rem3}

{FB3}

]]> 2 1 0 1 is not divisible by four.","The number is divisible by four."); div4=floor((p8*10+p9)/4); rem4=(p8*10+p9)%4;]]> D4 _err == 0 1 1 Divisible by 4: {_0:choice:MCE}

]]>

The divisibility test for 4 states: A number is divisible by 4 if the last two digits are divisible by 4.

The last two digits make the number {p8}{p9}.

{p8}{p9}  ÷ 4 = {div4} with a remainder of {rem4}

{FB4}


]]> 3 1 0 1 is not divisible by five.","The number is divisible by five.");]]> D5 _err == 0 1 1 Divisible by 5: {_0:choice:MCE}

]]>

The last digit is {lastDigit}.
The divisibility test for 5 states: A number is divisible by 5 if the number ends in 0 or 5.
{FB5}



]]> 4 1 0 1 is not divisible by six.","The number is divisible by six.");]]> D6 _err == 0 1 1 Divisible by 6: {_0:choice:MCE}

]]>

The divisibility test for 6 states: A number is divisible by 6 if the number is divisible by both 2 and 3.

Is the number divisible by 2? {=choice[D2]}

Is the number divisible by 3? {=choice[D3]}

{FB6}


]]> 5 1 0 1 is not divisible by seven.","The number is divisible by seven."); div7=floor(sumNum/7); rem7=(sumNum%7);]]> D7 _err == 0 1 1 Divisible by 7: {_0:choice:MCE}

]]>

There is no divisibility test for 7.

Divide the number by 7:     

{num} ÷ 7 = {div7} with a remainder of {rem7}

{FB7}


]]> 6 1 0 1 is not divisible by eight.","The number is divisible by eight."); div8=floor((p7*100+p8*10+p9)/8); rem8=(p7*100+p8*10+p9)%8;]]> D8 _err == 0 1 1 Divisible by 8: {_0:choice:MCE}

]]>

The divisibility test for 8 states: A number is divisible by 8 if the last three digits are divisible by 8.

The last two digits make the number {p7}{p8}{p9}.

{p7}{p8}{p9}  ÷ 8 = {div8} with a remainder of {rem8}

{FB8}.


]]> 7 1 0 1 is not divisible by nine.","The number is divisible by nine."); div9=floor(sumNum/9); rem9=(sumNum%9);]]> D9 _err == 0 1 1 Divisible by 9: {_0:choice:MCE}

]]>

The divisibility test for 9 states: A number is divisible by 9 if the sum of the digits is divisible by 9.

The sum of the digits, {sumText} = {sumNum}.

{sumNum}  ÷ 9 = {div9} with a remainder of {rem9}

{FB9}


]]> 8 1 0 1 is not divisible by ten.","The number is divisible by ten.");]]> D10 _err == 0 1 1 Divisible by 10: {_0:choice:MCE}

]]>

The divisibility test for 10 states: A number is divisible by 10 if the last digit is 0.

{FB10}


]]> Parts-Div by 2,3,4,5,6,7,8,9,10 (3 digit number) Determine if {disNum} is divisible by 2,3,4,5,6,7,8,9, and 10.]]> 9.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. p1={1:10:1}; p2={1:10:1}; p3={1:10:1}; p4={1:10:1}; p5={1:10:1}; p6={1:10:1}; p7={1:10:1}; p8={1:10:1}; p9={0:10:1}; abc 0 1 0 1 is not divisible by two.","The number is divisible by two.");]]> D2 _err == 0 1 1 Divisible by 2: {_0:choice:MCE}

]]> The last digit is {lastDigit}.
The divisibility test for 2 states: A number is divisible by 2 if the number ends in 0,2,4,6,8.
{FB2}]]> 1 1 0 1 is not divisible by three.","The number is divisible by three."); div3=floor(sumNum/3); rem3=(sumNum%3);]]> D3 _err == 0 1 1 Divisible by 3: {_0:choice:MCE}

]]> The divisibility test for 3 states: A number is divisible by 3 if the sum of the digits is divisible by 3.

The sum of the digits, {sumText} = {sumNum}.

{sumNum}  ÷ 3 = {div3} with a remainder of {rem3}

{FB3}

]]> 2 1 0 1 is not divisible by four.","The number is divisible by four."); div4=floor((p8*10+p9)/4); rem4=(p8*10+p9)%4;]]> D4 _err == 0 1 1 Divisible by 4: {_0:choice:MCE}

]]>

The divisibility test for 4 states: A number is divisible by 4 if the last two digits are divisible by 4.

The last two digits make the number {p8}{p9}.

{p8}{p9}  ÷ 4 = {div4} with a remainder of {rem4}

{FB4}


]]> 3 1 0 1 is not divisible by five.","The number is divisible by five.");]]> D5 _err == 0 1 1 Divisible by 5: {_0:choice:MCE}

]]>

The last digit is {lastDigit}.
The divisibility test for 5 states: A number is divisible by 5 if the number ends in 0 or 5.
{FB5}



]]> 4 1 0 1 is not divisible by six.","The number is divisible by six.");]]> D6 _err == 0 1 1 Divisible by 6: {_0:choice:MCE}

]]>

The divisibility test for 6 states: A number is divisible by 6 if the number is divisible by both 2 and 3.

Is the number divisible by 2? {=choice[D2]}

Is the number divisible by 3? {=choice[D3]}

{FB6}


]]> 5 1 0 1 is not divisible by seven.","The number is divisible by seven."); div7=floor(sumNum/7); rem7=(sumNum%7);]]> D7 _err == 0 1 1 Divisible by 7: {_0:choice:MCE}

]]>

There is no divisibility test for 7.

Divide the number by 7:     

{num} ÷ 7 = {div7} with a remainder of {rem7}

{FB7}


]]> 6 1 0 1 is not divisible by eight.","The number is divisible by eight."); div8=floor((p7*100+p8*10+p9)/8); rem8=(p7*100+p8*10+p9)%8;]]> D8 _err == 0 1 1 Divisible by 8: {_0:choice:MCE}

]]>

The divisibility test for 8 states: A number is divisible by 8 if the last three digits are divisible by 8.

The last two digits make the number {p7}{p8}{p9}.

{p7}{p8}{p9}  ÷ 8 = {div8} with a remainder of {rem8}

{FB8}.


]]> 7 1 0 1 is not divisible by nine.","The number is divisible by nine."); div9=floor(sumNum/9); rem9=(sumNum%9);]]> D9 _err == 0 1 1 Divisible by 9: {_0:choice:MCE}

]]>

The divisibility test for 9 states: A number is divisible by 9 if the sum of the digits is divisible by 9.

The sum of the digits, {sumText} = {sumNum}.

{sumNum}  ÷ 9 = {div9} with a remainder of {rem9}

{FB9}


]]> 8 1 0 1 is not divisible by ten.","The number is divisible by ten.");]]> D10 _err == 0 1 1 Divisible by 10: {_0:choice:MCE}

]]>

The divisibility test for 10 states: A number is divisible by 10 if the last digit is zero.

{FB10}


]]> Parts-Div by 2,3,4,5,6,7,8,9,10 (large #) Determine if {disNumMil},{disNumThous},{disNum} is divisible by 2,3,4,5,6,7,8,9, and 10.]]> 9.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. p1={1:10:1}; p2={1:10:1}; p3={1:10:1}; p4={1:10:1}; p5={1:10:1}; p6={1:10:1}; p7={1:10:1}; p8={1:10:1}; p9={0:10:1}; abc 0 1 0 1 is not divisible by two.","The number is divisible by two.");]]> D2 _err == 0 1 1 Divisible by 2: {_0:choice:MCE}

]]> The last digit is {lastDigit}.
The divisibility test for 2 states: A number is divisible by 2 if the number ends in 0,2,4,6,8.
{FB2}]]> 1 1 0 1 is not divisible by three.","The number is divisible by three."); div3=floor(sumNum/3); rem3=(sumNum%3);]]> D3 _err == 0 1 1 Divisible by 3: {_0:choice:MCE}

]]> The divisibility test for 3 states: A number is divisible by 3 if the sum of the digits is divisible by 3.

The sum of the digits, {sumText} = {sumNum}.

{sumNum}  ÷ 3 = {div3} with a remainder of {rem3}

{FB3}

]]> 2 1 0 1 is not divisible by four.","The number is divisible by four."); div4=floor((p8*10+p9)/4); rem4=(p8*10+p9)%4;]]> D4 _err == 0 1 1 Divisible by 4: {_0:choice:MCE}

]]>

The divisibility test for 4 states: A number is divisible by 4 if the last two digits are divisible by 4.

The last two digits make the number {p8}{p9}.

{p8}{p9}  ÷ 4 = {div4} with a remainder of {rem4}

{FB4}


]]> 3 1 0 1 is not divisible by five.","The number is divisible by five.");]]> D5 _err == 0 1 1 Divisible by 5: {_0:choice:MCE}

]]>

The last digit is {lastDigit}.
The divisibility test for 5 states: A number is divisible by 5 if the number ends in 0 or 5.
{FB5}



]]> 4 1 0 1 is not divisible by six.","The number is divisible by six.");]]> D6 _err == 0 1 1 Divisible by 6: {_0:choice:MCE}

]]>

The divisibility test for 6 states: A number is divisible by 6 if the number is divisible by both 2 and 3.

Is the number divisible by 2? {=choice[D2]}

Is the number divisible by 3? {=choice[D3]}

{FB6}


]]> 5 1 0 1 is not divisible by seven.","The number is divisible by seven."); div7=floor(sumNum/7); rem7=(sumNum%7);]]> D7 _err == 0 1 1 Divisible by 7: {_0:choice:MCE}

]]>

There is no divisibility test for 7.

Divide the number by 7:     

{num} ÷ 7 = {div7} with a remainder of {rem7}

{FB7}


]]> 6 1 0 1 is not divisible by eight.","The number is divisible by eight."); div8=floor((p7*100+p8*10+p9)/8); rem8=(p7*100+p8*10+p9)%8;]]> D8 _err == 0 1 1 Divisible by 8: {_0:choice:MCE}

]]>

The divisibility test for 8 states: A number is divisible by 8 if the last three digits are divisible by 8.

The last two digits make the number {p7}{p8}{p9}.

{p7}{p8}{p9}  ÷ 8 = {div8} with a remainder of {rem8}

{FB8}.


]]> 7 1 0 1 is not divisible by nine.","The number is divisible by nine."); div9=floor(sumNum/9); rem9=(sumNum%9);]]> D9 _err == 0 1 1 Divisible by 9: {_0:choice:MCE}

]]>

The divisibility test for 9 states: A number is divisible by 9 if the sum of the digits is divisible by 9.

The sum of the digits, {sumText} = {sumNum}.

{sumNum}  ÷ 9 = {div9} with a remainder of {rem9}

{FB9}


]]> 8 1 0 1 is not divisible by ten.","The number is divisible by ten.");]]> D10 _err == 0 1 1 Divisible by 10: {_0:choice:MCE}

]]>

The divisibility test for 10 states: A number is divisible by 10 if the last digit is zero.

{FB10}


]]> TL17- Divisibility by 2,3, and 6 Determine if each number is divisible by 2, 3 and 6]]> 3.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. num1={1002:4000:2}; num2={1003:4000:3}; num3={1006:4000:3}; order=shuffle([0,1,2]); 0,2,4,6, or 8."," ends in a
0,2,4,6, or 8"]; FB3=["is not divisible
by 3"," is divisible
by 3"]; FB6=["is not
divisible by
2 and 3.","is
divisible by
2 and 3."];]]> abc 0 1 10 3 div2=(ques[0]%2==0)?1:0; div3=(ques[0]%3==0)?1:0; div6=(ques[0]%9==0)?1:0; thousand=floor(ques[0]/1000); hundred=floor((ques[0]-thousand*1000)/100); ten=floor((ques[0]-thousand*1000-hundred*100)/10); one=floor((ques[0]-thousand*1000-hundred*100-ten*10)); sum1=thousand+hundred+ten+one; [div2,div3,div6] _err == 0 1 1

Number

   Divisible by 2

   Divisible by 3

   Divisible by 6

{=ques[0]}

{_0:choice:MCE} {_1:choice:MCE} {_2:choice:MCE} ]]> Find the sum of the digits: {thousand} + {hundred} + {ten} + {one} = {=sum1}

Number

   Divisible by 2

   Divisible by 3

   Divisible by 6

{=ques[0]}

 {=choice[div2]},
{=ques[0]}
{=FB2[div2]}		{=choice[div3]},
{sum1}
{=FB3[div3]}		 {=choice[div6]},
{=ques[0]} {=FB6[div6]}
]]> 1 1 10 3 div2=(ques[1]%2==0)?1:0; div3=(ques[1]%3==0)?1:0; div6=(ques[1]%9==0)?1:0; thousand=floor(ques[1]/1000); hundred=floor((ques[1]-thousand*1000)/100); ten=floor((ques[1]-thousand*1000-hundred*100)/10); one=floor((ques[1]-thousand*1000-hundred*100-ten*10)); sum1=thousand+hundred+ten+one; [div2,div3,div6] _err == 0 1 1

Number

   Divisible by 2

   Divisible by 3

   Divisible by 6

{=ques[1]}

{_0:choice:MCE}{_1:choice:MCE}{_2:choice:MCE}]]>

Find the sum of the digits: {thousand} + {hundred} + {ten} + {one} = {=sum1}

Number

   Divisible by 2

   Divisible by 3

   Divisible by 6

{=ques[1]}

{=choice[div2]},
{=ques[1]}
{=FB2[div2]}		{=choice[div3]},
{sum1}
{=FB3[div3]}		{=choice[div6]},
{=ques[1]} {=FB6[div6]}
]]> 2 1 10 3 div2=(ques[2]%2==0)?1:0; div3=(ques[2]%3==0)?1:0; div6=(ques[2]%9==0)?1:0; thousand=floor(ques[2]/1000); hundred=floor((ques[2]-thousand*1000)/100); ten=floor((ques[2]-thousand*1000-hundred*100)/10); one=floor((ques[2]-thousand*1000-hundred*100-ten*10)); sum1=thousand+hundred+ten+one; [div2,div3,div6] _err == 0 1 1

Number

   Divisible by 2

   Divisible by 3

   Divisible by 6

{=ques[2]}

{_0:choice:MCE}{_1:choice:MCE}{_2:choice:MCE}

]]>

Find the sum of the digits: {thousand} + {hundred} + {ten} + {one} = {=sum1}

Number

   Divisible by 2

   Divisible by 3

   Divisible by 6

{=ques[2]}

{=choice[div2]},
{=ques[2]}
{=FB2[div2]}		{=choice[div3]},
{sum1}
{=FB3[div3]}		{=choice[div6]},
{=ques[2]} {=FB6[div6]}
]]> TL17- Divisibility by 2,5, and 10 Determine if each number is divisible by 2, 5, and 10]]> 3.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. num1={10:4000:10}; num2={2:4000:2}; num3={5:4000:10}; order=shuffle([0,1,2]); 0,2,4,6, or 8."," ends in a
0,2,4,6, or 8"]; FB5=[" does not end in a
0 or 5."," ends in a
0 or 5."]; FB10=[" does not
end in a 0."," ends in a 0."];]]> abc 0 1 10 3 div2=(ques[0]%2==0)?1:0; div5=(ques[0]%5==0)?1:0; div10=(ques[0]%10==0)?1:0; [div2,div5,div10] _err == 0 1 1

Number

   Divisible by 2

   Divisible by 5

   Divisible by 10

{=ques[0]}

{_0:choice:MCE} {_1:choice:MCE} {_2:choice:MCE} ]]>

Number

   Divisible by 2

   Divisible by 5

   Divisible by 10

{=ques[0]}

{=choice[div2]},
{=ques[0]}
{=FB2[div2]} {=choice[div5]},
{=ques[0]} 
{=FB5[div5]} {=choice[div10]},
{=ques[0]} 
{=FB10[div10]} ]]> 1 1 10 3 div2=(ques[1]%2==0)?1:0; div5=(ques[1]%5==0)?1:0; div10=(ques[1]%10==0)?1:0; [div2,div5,div10] _err == 0 1 1

Number

   Divisible by 2

   Divisible by 5

   Divisible by 10

{=ques[1]}

{_0:choice:MCE}{_1:choice:MCE}{_2:choice:MCE}


]]>

Number

   Divisible by 2

   Divisible by 5

   Divisible by 10

{=ques[1]}

{=choice[div2]},
{=ques[1]} 
{=FB2[div2]} {=choice[div5]},
{=ques[1]} 
{=FB5[div5]} {=choice[div10]},
{=ques[1]} 
{=FB10[div10]} ]]> 2 1 10 3 div2=(ques[2]%2==0)?1:0; div5=(ques[2]%5==0)?1:0; div10=(ques[2]%10==0)?1:0; [div2,div5,div10] _err == 0 1 1

Number

   Divisible by 2

   Divisible by 5

   Divisible by 10

{=ques[2]}

{_0:choice:MCE}{_1:choice:MCE}{_2:choice:MCE}


]]>

Number

   Divisible by 2

   Divisible by 5

   Divisible by 10

{=ques[2]}

{=choice[div2]},
{=ques[2]} 
{=FB2[div2]} {=choice[div5]},
{=ques[2]} 
{=FB5[div5]} {=choice[div10]},
{=ques[2]} 
{=FB10[div10]} ]]> TL17- Divisibility by 3,9 Determine if each number is divisible by 3 and 9]]> 3.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. num1={1002:4000:3}; num2={1000:4000:1}; num3={1008:4000:9}; order=shuffle([0,1,2]); by 3"," is divisible
by 3"]; FB9=["is not divisible
by 9","is divisible
by 9"];]]> abc 0 1 10 2 div3=(ques[0]%3==0)?1:0; div9=(ques[0]%9==0)?1:0; thousand=floor(ques[0]/1000); hundred=floor((ques[0]-thousand*1000)/100); ten=floor((ques[0]-thousand*1000-hundred*100)/10); one=floor((ques[0]-thousand*1000-hundred*100-ten*10)); sum1=thousand+hundred+ten+one; [div3,div9] _err == 0 1 1

Number

   Divisible by 3

   Divisible by 9

{=ques[0]}

{_0:choice:MCE} {_1:choice:MCE} ]]> Find the sum of the digits: {thousand} + {hundred} + {ten} + {one} = {=sum1}

Number

   Divisible by 3

   Divisible by 9

{=ques[0]}

 {=choice[div3]},
{sum1}
{=FB3[div3]}		 {=choice[div9]},
{sum1} 
{=FB9[div9]}
]]> 1 1 10 2 div3=(ques[1]%3==0)?1:0; div9=(ques[1]%9==0)?1:0; thousand=floor(ques[1]/1000); hundred=floor((ques[1]-thousand*1000)/100); ten=floor((ques[1]-thousand*1000-hundred*100)/10); one=floor((ques[1]-thousand*1000-hundred*100-ten*10)); sum2=thousand+hundred+ten+one; [div3,div9] _err == 0 1 1

Number

   Divisible by 3

   Divisible by 9

{=ques[1]}

{_0:choice:MCE} {_1:choice:MCE} ]]> Find the sum of the digits: {thousand} + {hundred} + {ten} + {one} = {=sum2}

Number

   Divisible by 3

   Divisible by 9

{=ques[1]}

 {=choice[div3]},
{sum2} 
{=FB3[div3]}		 {=choice[div9]},
{sum2} 
{=FB9[div9]}
]]> 2 1 10 2 div3=(ques[2]%3==0)?1:0; div9=(ques[2]%9==0)?1:0; thousand=floor(ques[2]/1000); hundred=floor((ques[2]-thousand*1000)/100); ten=floor((ques[2]-thousand*1000-hundred*100)/10); one=floor((ques[2]-thousand*1000-hundred*100-ten*10)); sum3=thousand+hundred+ten+one; [div3,div9] _err == 0 1 1

Number

   Divisible by 3

   Divisible by 9

  

{=ques[2]}

{_0:choice:MCE}{_1:choice:MCE}


]]> Find the sum of the digits: {thousand} + {hundred} + {ten} + {one} = {=sum3}

Number

   Divisible by 3

   Divisible by 9

   

{=ques[2]}

 {=choice[div3]},
{sum3} 
{=FB3[div3]}		 {=choice[div9]},
{sum3} 
{=FB9[div9]}
]]> TL17- Divisibility by 4,8 Determine if each number is divisible by 4 and 8]]> 3.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. num1={1004:4000:4}; num2={1000:4000:1}; num3={1008:4000:8}; order=shuffle([0,1,2]); by 4"," is divisible
by 4"]; FB8=["is not divisible
by 8","is divisible
by 8"];]]> abc 0 1 10 2 div4=(ques[0]%4==0)?1:0; div8=(ques[0]%8==0)?1:0; thousand=floor(ques[0]/1000); hundred=floor((ques[0]-thousand*1000)/100); ten=floor((ques[0]-thousand*1000-hundred*100)/10); one=floor((ques[0]-thousand*1000-hundred*100-ten*10)); last2A=ten*10+one; last3A=hundred*100+last2A; [div4,div8] _err == 0 1 1

Number

   Divisible by 4

   Divisible by 8

{=ques[0]}

{_0:choice:MCE} {_1:choice:MCE} ]]> The last two digits are: {=last2A}

The last three digits are: {=last3A}


Number

   Divisible by 4

   Divisible by 8

{=ques[0]}

 {=choice[div4]},
{last2A}
{=FB4[div4]}		 {=choice[div8]},
{last3A} 
{=FB8[div8]}
]]> 1 1 10 2 div4=(ques[1]%4==0)?1:0; div8=(ques[1]%8==0)?1:0; thousand=floor(ques[1]/1000); hundred=floor((ques[1]-thousand*1000)/100); ten=floor((ques[1]-thousand*1000-hundred*100)/10); one=floor((ques[1]-thousand*1000-hundred*100-ten*10)); last2B=ten*10+one; last3B=hundred*100+last2B; [div4,div8] _err == 0 1 1

Number

   Divisible by 4

   Divisible by 8

{=ques[1]}

{_0:choice:MCE}{_1:choice:MCE}]]>

The last two digits are: {=last2B}

The last three digits are: {=last3B}


Number

   Divisible by 4

   Divisible by 8

{=ques[1]}

{=choice[div4]},
{last2B}
{=FB4[div4]}		{=choice[div8]},
{last3B} 
{=FB8[div8]}
]]> 2 1 10 2 div4=(ques[2]%4==0)?1:0; div8=(ques[2]%8==0)?1:0; thousand=floor(ques[2]/1000); hundred=floor((ques[2]-thousand*1000)/100); ten=floor((ques[2]-thousand*1000-hundred*100)/10); one=floor((ques[2]-thousand*1000-hundred*100-ten*10)); last2C=ten*10+one; last3C=hundred*100+last2C; [div4,div8] _err == 0 1 1

Number

   Divisible by 4

   Divisible by 8

{=ques[2]}

{_0:choice:MCE} {_1:choice:MCE} ]]>

The last two digits are: {=last2C}

The last three digits are: {=last3C}


Number

   Divisible by 4

   Divisible by 8

{=ques[1]}

{=choice[div4]},

{last2C}

{=FB4[div4]}

{=choice[div8]},

{last3C} 

{=FB8[div8]}
]]> $course$/top/Default for MSII/Test #3/L18 - Solving Multiplication Equations L18 - Division Equation Solve for {var}:

\(\frac{{var}}{{a}}\) = {b}

]]>

\(\frac{{var}}{{a}}\) = {b}

        

Write the equation

({a})\(\frac{{var}}{{a}}\) = {b}({a})

multiply by {a} on both sides

 {var}       = {=b*a}

simplify

Check

\(\frac{{var}}{{a}}\) = {b}

Write the equation

\(\frac{{x}}{{a}}\) = {b}

Substitute {var}={x}

You can use ?= to show you are testing if the answer is correct.

{=x/a} ?= {b}

It is true, therefore {var}={x} is the correct answer.
]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. b=a*temp; x=b*a; y={-100:100:1}; z={-100:100:1}; t={-100:100:1}; p={-100:100:1}; c={-100:100:1}; abc 0 1 0 1 x _err == 0 1 1 {var}={_0}]]> L18 - Division Equation (decimal) Solve for {var}:

\(\frac{{var}}{{a}}\) = {b}

]]>

\(\frac{{var}}{{a}}\) = {b}

        

Write the equation

({a})\(\frac{{var}}{{a}}\) = {b}({a})

multiply by {a} on both sides

 {var}       = {=b*a}

simplify

Check

\(\frac{{var}}{{a}}\) = {b}

Write the equation

\(\frac{{x}}{{a}}\) = {b}

Substitute {var}={x}

You can use ?= to show you are testing if the answer is correct.

{=x/a} ?= {b}

It is true, therefore {var}={x} is the correct answer.
]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. b=a*temp; x=b*a; y={-100:100:1}; z={-100:100:1}; t={-100:100:1}; p={-100:100:1}; c={-100:100:1}; abc 0 1 0 1 x 1 1 {var}={_0}]]> L18 - Multiplication Equation (decimal) Solve for {var}:

{a}{var} = {b}

]]>

{a}{var} = {b}

        

Write the equation

   {a}    {a}

divide by {a} on both sides

 {var}       = {=b/a}

simplify

Check

{a}{var} = {b}

Write the equation

{a}({x}) ?= {b}

Substitute {var}=({x})

Put the value of {var} in parentheses to show multiplication.
You can use ?= to show you are testing if the answer is correct.

{=x*a} ?= {b}

It is true, therefore {var}={x} is the correct answer.
]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. b=x*a; y={-100:100:1}; z={-100:100:1}; t={-100:100:1}; p={-100:100:1}; c={-100:100:1}; abc 0 1 0 1 x _err == 0 1 1 {var}={_0}]]> M3- L18 - Multiplication Equation Solve for {var}:

{a}{var} = {b}

]]>

{a}{var} = {b}

        

Write the equation

   {a}    {a}

divide by {a} on both sides

 {var}       = {=b/a}

simplify

Check

{a}{var} = {b}

Write the equation

{a}({x}) ?= {b}

Substitute {var}=({x})

Put the value of {var} in parentheses to show multiplication.
You can use ?= to show you are testing if the answer is correct.

{=x*a} ?= {b}

It is true, therefore {var}={x} is the correct answer.
]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. b=x*a; y={-100:100:1}; z={-100:100:1}; t={-100:100:1}; p={-100:100:1}; c={-100:100:1}; abc 0 1 0 1 x _err == 0 1 1 {var}={_0}]]> TL18 - Division Equation Solve for {var}:

\(\frac{{var}}{{a}}\) = {b}

]]>

\(\frac{{var}}{{a}}\) = {b}

       

Write the equation

({a})\(\frac{{var}}{{a}}\) = {b}({a})


multiply by {a} on both sides

 {var}       = {=b*a}

simplify

Check

\(\frac{{var}}{{a}}\) = {b}

Write the equation

\(\frac{{x}}{{a}}\) = {b}

Substitute {var}={x}

You can use ?= to show you are testing if the answer is correct.

{=x/a} ?= {b}

It is true, therefore {var}={x} is the correct answer.

]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. b=a*temp; x=b*a; y={-100:100:1}; z={-100:100:1}; t={-100:100:1}; p={-100:100:1}; c={-100:100:1}; abc 0 1 0 1 x _err == 0 1 1 {var}={_0}]]> TL18 - Division Equation (decimal) Solve for {var}:

\(\frac{{var}}{{a}}\) = {b}

]]>

\(\frac{{var}}{{a}}\) = {b}

       

Write the equation

({a})\(\frac{{var}}{{a}}\) = {b}({a})


multiply by {a} on both sides

 {var}       = {=b*a}

simplify

Check

\(\frac{{var}}{{a}}\) = {b}

Write the equation

\(\frac{{x}}{{a}}\) = {b}

Substitute {var}={x}

You can use ?= to show you are testing if the answer is correct.

{=x/a} ?= {b}

It is true, therefore {var}={x} is the correct answer.

]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. b=a*temp; x=b*a; y={-100:100:1}; z={-100:100:1}; t={-100:100:1}; p={-100:100:1}; c={-100:100:1}; abc 0 1 0 1 x 1 1 {var}={_0}]]> TL18 - Multiplication Equation (decimal) Solve for {var}:

{a}{var} = {b}

]]>

{a}{var} = {b}

        

Write the equation

   {a}    {a}

divide by {a} on both sides

 {var}       = {=b/a}

simplify

Check

{a}{var} = {b}

Write the equation

{a}({x}) ?= {b}

Substitute {var}=({x})

Put the value of {var} in parentheses to show multiplication.
You can use ?= to show you are testing if the answer is correct.

{=x*a} ?= {b}

It is true, therefore {var}={x} is the correct answer.
]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. b=x*a; y={-100:100:1}; z={-100:100:1}; t={-100:100:1}; p={-100:100:1}; c={-100:100:1}; abc 0 1 0 1 x 1 1 {var}={_0}]]> $course$/top/Default for MSII/Test #3/L19- Factors, Prime - GCF L19- Prime or Composite Determine if each number is prime or composite.]]> 3.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. random=shuffle([2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100]); none 0 1 0 1 list[random[0]] _err == 0 1 1

{=random[0]}:  {_0:choices:MCE}

]]> The factors of {=random[0]} are {=FB[random[0]]}.  

It is a {=choices[list[random[0]]]} number.

]]> 1 1 0 1 list[random[1]] _err == 0 1 1

{=random[1]}:  {_0:choices:MCE}

]]>

The factors of {=random[1]} are {=FB[random[1]]}.  

It is a {=choices[list[random[1]]]} number.


]]> 2 1 0 1 list[random[2]] _err == 0 1 1

{=random[2]}:  {_0:choices:MCE}

]]>

The factors of {=random[2]} are {=FB[random[2]]}.  

It is a {=choices[list[random[2]]]} number.



]]> L19-GCF - 2 numbers 2-100 What is the GCF of  {num1} and {num2}?


]]>

The factors of {num1} are {=FB[random[0]]} 

The factors of {num2} are {=FB[random[1]]}

The GCF is: {ans}.  





]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. random=shuffle([2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100]); none 0 1 10 1 ans _err == 0 1 1 GCF of {num1} and {num2}:  {_0}]]> M5-used in lesson 34-L19-factors number 2-100 List the factors of {=random[0]}.

(Type the factors in order from smallest to largest, leave one space between each number.
For example, to enter the factors of 102 enter 1 2 3 6 17 34 51 102 )

]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. random=shuffle([2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100]); none 0 1 1000 1 FB[random[0]] _err == 0 1 1 The factors of {=random[0]}:  {_0}]]> The factors of {=random[0]} are {=FB[random[0]]}.  

It is a {=choices[list[random[0]]]} number.

]]> $course$/top/Default for MSII/Test #3/L18 - Solving Multiplication Equations/L18 - Word Problems mult and Div Equations L18 - equation - area rectangle finding missing value The area of a rectangle is calculated by multiplying the length times the width.  The area of a rectangle is {A} and the {=words[given]}  is {=values[given]}.  Find the {=words[(given+1)%2]}.  (Hint:  A = lw) var board = JXG.JSXGraph.initBoard(BOARDID,{ axis:false,grid:false, boundingbox: [-2,{w}/2+2,{l}/2+2,-2], showCopyright: false, showNavigation: false,keepaspectratio:true }); varL1=board.create('line',[[0,0],[{l}/2,0]],{straightFirst:false, straightLast:false,firstArrow:false,lastArrow:false,strokeWidth:2,fixed:true,strokeColor:'#0000FF'}); varL2=board.create('line',[[{l}/2,0],[{l}/2,{w}/2]],{straightFirst:false, straightLast:false,firstArrow:false,lastArrow:false,strokeWidth:2,fixed:true,strokeColor:'#FF00FF'}); varL3=board.create('line',[[{l}/2,{w}/2],[0,{w}/2]],{straightFirst:false, straightLast:false,firstArrow:false,lastArrow:false,strokeWidth:2,fixed:true,strokeColor:'#0000FF'}); varL4=board.create('line',[[0,{w}/2],[0,0]],{straightFirst:false, straightLast:false,firstArrow:false,lastArrow:false,strokeWidth:2,fixed:true,strokeColor:'#FF00FF'}); var tl=board.create('text',[{l}/4,0,"{length}"],{anchorY:'top',fontSize:'15',fixed:true,strokeColor:"#0000FF"}); var tw=board.create('text',[{l}/2+.125,{w}/4,"{width}"],{strokeColor:"#FF00FF",anchorx:'left',fontSize:'15',fixed:true}); var tA=board.create('text',[{l}/4,{w}/4,"Area = {A}"],{anchorX:'middle',anchorY:'center',fontSize:'15',fixed:true}); ]]>

A=lw

        

Write the equation

{step1}

Substitute known Values

{=values[given]}      {=values[given]}

Divide both sides by {=values[given]}

{=values[(given+1)%2]} ={=words[(given+1)%2]}

Simplify

Check

A=lw

Write the equation

{A} ?= {l}({w})

Substitute all the values.

Put the value of w in parentheses to show multiplication.
You can use ?= to show you are testing if the answer is correct.

{A} ?= {=l*w}

It is true, therefore

{=words[(given+1)%2]} ={=values[(given+1)%2]} is the correct answer.
]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. given={0,1}; l={4:21:1}; w={4:21:1}; ",A," = (",l,")w"),join("","",A," = l(",w,")")); length=pick(given,join("","length =",l),"length=?"); width=pick(given,"width=?",join("","width =",w)); boxCR=300/w; boxW=350; boxL=l*boxCR;]]> abc 0 1 0 1 values[(given+1)%2] _err == 0 1 1

{=words[(given+1)%2]} = {_0}

]]> L18 - Word Problem Division Equation {name} separated his money into {piles} equal amounts.  How much money does he have if each group has ${amount}.  

 

\(\frac{Total Amount}{{piles}}\) = {amount}

]]>

\(\frac{Total Amount}{{piles}}\) = {amount}

        

Write the equation

({piles})\(\frac{Total Amount}{{piles}}\) = {piles}({amount})

multiply by {piles} on both sides

Total Amount      = {=piles*amount}

simplify

Check

\(\frac{Total Amount}{{piles}}\) ?= {amount}

Write the equation

\(\frac{{total}}{{piles}}\) ?= {amount}

Substitute Total Amount={total}

You can use ?= to show you are testing if the answer is correct.

{amount} ?= {amount}

It is true, therefore Total Amount={total} is the correct answer.
]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. total=amount*piles; y={-100:100:1}; z={-100:100:1}; t={-100:100:1}; p={-100:100:1}; c={-100:100:1}; abc 0 1 0 1 total _err == 0 1 1 Total Amount={_0}]]> TL18 - equation - area rectangle finding missing value The area of a rectangle is calculated by multiplying the length times the width.  The area of a rectangle is {A} and the {=words[given]}  is {=values[given]}.  Find the {=words[(given+1)%2]}.  (Hint:  A = lw) var board = JXG.JSXGraph.initBoard(BOARDID,{ axis:false,grid:false, boundingbox: [-1,{w}/2+1,{l}/2+1,-1], showCopyright: false, showNavigation: false }); varL1=board.create('line',[[0,0],[{l}/2,0]],{straightFirst:false, straightLast:false,firstArrow:false,lastArrow:false,strokeWidth:2,fixed:true,strokeColor:'#0000FF'}); varL2=board.create('line',[[{l}/2,0],[{l}/2,{w}/2]],{straightFirst:false, straightLast:false,firstArrow:false,lastArrow:false,strokeWidth:2,fixed:true,strokeColor:'#FF00FF'}); varL3=board.create('line',[[{l}/2,{w}/2],[0,{w}/2]],{straightFirst:false, straightLast:false,firstArrow:false,lastArrow:false,strokeWidth:2,fixed:true,strokeColor:'#0000FF'}); varL4=board.create('line',[[0,{w}/2],[0,0]],{straightFirst:false, straightLast:false,firstArrow:false,lastArrow:false,strokeWidth:2,fixed:true,strokeColor:'#FF00FF'}); var tl=board.create('text',[{l}/4,0,"{length}"],{anchorY:'top',fontSize:'15',fixed:true,strokeColor:"#0000FF"}); var tw=board.create('text',[{l}/2+.125,{w}/4,"{width}"],{strokeColor:"#FF00FF",anchorx:'left',fontSize:'15',fixed:true}); var tA=board.create('text',[{l}/4,{w}/4,"Area = {A}"],{anchorX:'middle',anchorY:'center',fontSize:'15',fixed:true}); ]]>

A=lw

        

Write the equation

{step1}

Substitute known Values

{=values[given]}      {=values[given]}

Divide both sides by {=values[given]}

{=values[(given+1)%2]} ={=words[(given+1)%2]}

Simplify

Check

A=lw

Write the equation

{A} ?= {l}({w})

Substitute all the values.

Put the value of w in parentheses to show multiplication.
You can use ?= to show you are testing if the answer is correct.

{A} ?= {=l*w}

It is true, therefore

{=words[(given+1)%2]} ={=values[(given+1)%2]} is the correct answer.
]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. given={0,1}; l={1:21:1}; w={1:21:1}; ",A," = (",l,")w"),join("","",A," = l(",w,")")); length=pick(given,join("","length =",l),"length=?"); width=pick(given,"width=?",join("","width =",w)); boxCR=300/w; boxW=350; boxL=l*boxCR;]]> abc 0 1 0 1 values[(given+1)%2] _err == 0 1 1

{=words[(given+1)%2]} = {_0}

]]> TL18 - Word Problem Division Equation {name} separated his money into {piles} equal amounts.  How much money does he have if each group has ${amount}.  

 

\(\frac{Total Amount}{{piles}}\) = {amount}

]]>

\(\frac{Total Amount}{{piles}}\) = {amount}

        

Write the equation

({piles})\(\frac{Total Amount}{{piles}}\) = {piles}({amount})

multiply by {piles} on both sides

Total Amount      = {=piles*amount}

simplify

Check

\(\frac{Total Amount}{{piles}}\) ?= {amount}

Write the equation

\(\frac{{total}}{{piles}}\) ?= {amount}

Substitute Total Amount={total}

You can use ?= to show you are testing if the answer is correct.

{amount} ?= {amount}

It is true, therefore Total Amount={total} is the correct answer.
]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. total=amount*piles; y={-100:100:1}; z={-100:100:1}; t={-100:100:1}; p={-100:100:1}; c={-100:100:1}; abc 0 1 0 1 total _err == 0 1 1 Total Amount={_0}]]> $course$/top/Default for MSII/Test #3/L19- Factors, Prime - GCF/L19- Factors-Step 1 - tells how many 2 Factors: of a number What are the factors of {number}?]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. factors=shuffle([2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97]); ans1=factors[0]; ans2=1; number=ans1; abc 0 1 0 2 [ans1,ans2] 1 1 There are two factors.  They are: {_0} and {_1}]]> 3 Factors: of a number What are the factors of {number}? ]]> A factor is multiplied by a factor to result in a product.
{ans0} x {ans2} = {number}
{ans1} x {ans1} = {number}]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. factors=shuffle([4,9,25,49]); number=factors[0]; ans0=1; ans1=sqrt(number); ans2=number; abc 0 1 0 3 [ans0,ans1,ans2] 1 1 There are three factors.  

{_0} x {_1} = {number}

and {_2}2 = {number}

]]> 4 Factors: of a number What are the factors of {number}? ]]> A factor is multiplied by a factor to result in a product.
{ans0} x {ans3} = {number}
{ans1} x {ans2} = {number}]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. random={[6,1, 2, 3, 6],[8,1, 2, 4, 8],[10,1, 2, 5, 10],[14,1, 2, 7, 14],[15,1, 3, 5, 15],[21,1, 3, 7, 21],[22,1, 2, 11, 22],[26,1, 2, 13, 26],[27,1, 3, 9, 27],[33,1, 3, 11, 33],[34,1, 2, 17, 34],[35,1, 5, 7, 35],[38,1, 2, 19, 38],[39,1, 3, 13, 39],[46,1, 2, 23, 46],[51,1, 3, 17, 51],[55,1, 5, 11, 55],[57,1, 3, 19, 57],[58,1, 2, 29, 58],[62,1, 2, 31, 62],[65,1, 5, 13, 65],[69,1, 3, 23, 69],[74,1, 2, 37, 74],[77,1, 7, 11, 77],[82,1, 2, 41, 82],[85,1, 5, 17, 85],[86,1, 2, 43, 86],[87,1, 3, 29, 87],[91,1, 7, 13, 91],[93,1, 3, 31, 93],[94,1, 2, 47, 94],[95,1, 5, 19, 95]}; number=random[0]; ans0=random[1]; ans1=random[2]; ans2=random[3]; ans3=random[4]; abc 0 1 0 4 [ans0,ans1,ans2,ans3] 1 1 There are four factors.  

{_0} x {_1} = {number}

{_2} x {_3}= {number}

]]> 5 Factors: of a number What are the factors of {number}? ]]> A factor is multiplied by a factor to result in a product.
{ans0} x {ans4} = {number}
{ans1} x {ans3} = {number}

{ans2} x {ans2} = {number}


]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. random={[16,1, 2, 4, 8, 16],[81,1, 3, 9, 27, 81]}; number=random[0]; ans0=random[1]; ans1=random[2]; ans2=random[3]; ans3=random[4]; ans4=random[5]; abc 0 1 0 5 [ans0,ans1,ans2,ans3,ans4] 1 1 There are five factors.  

{_0} x {_1} = {number}

{_2}2 = {number}

{_3} x {_4}= {number}

]]> 6 Factors: of a number What are the factors of {number}? ]]> A factor is multiplied by a factor to result in a product.
{ans0} x {ans5} = {number}
{ans1} x {ans4} = {number}

{ans2} x {ans3} = {number}


]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. random={[12,1, 2, 3, 4, 6, 12],[18,1, 2, 3, 6, 9, 18],[20,1, 2, 4, 5, 10, 20],[28,1, 2, 4, 7, 14, 28],[32,1, 2, 4, 8, 16, 32],[44,1, 2, 4, 11, 22, 44],[45,1, 3, 5, 9, 15, 45],[50,1, 2, 5, 10, 25, 50],[52,1, 2, 4, 13, 26, 52],[63,1, 3, 7, 9, 21, 63],[68,1, 2, 4, 17, 34, 68],[75,1, 3, 5, 15, 25, 75],[76,1, 2, 4, 19, 38, 76],[92,1, 2, 4, 23, 46, 92],[98,1, 2, 7, 14, 49, 98],[99,1, 3, 9, 11, 33, 99]}; number=random[0]; ans0=random[1]; ans1=random[2]; ans2=random[3]; ans3=random[4]; ans4=random[5]; ans5=random[6]; abc 0 1 0 6 [ans0,ans1,ans2,ans3,ans4,ans5] 1 1 There are six factors.  

{_0} x {_1} = {number}

{_2} x {_3} = {number}

{_4} x {_5}= {number}

]]> 7 Factors: of a number What are the factors of {number}? ]]> A factor is multiplied by a factor to result in a product.
{ans0} x {ans6} = {number}
{ans1} x {ans5} = {number}

{ans2} x {ans4} = {number}

{ans3}2 = {number}



]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. random=[64,1, 2, 4, 8, 16, 32, 64]; number=random[0]; ans0=random[1]; ans1=random[2]; ans2=random[3]; ans3=random[4]; ans4=random[5]; ans5=random[6]; ans6=random[7]; abc 0 1 0 7 [ans0,ans1,ans2,ans3,ans4,ans5,ans6] 1 1 There are six factors.  

{_0} x {_1} = {number}

{_2} x {_3}= {number}

{_4} x {_5}= {number}

{_6}2= {number}


]]> 8 Factors: of a number What are the factors of {number}? ]]> A factor is multiplied by a factor to result in a product.
{ans0} x {ans7} = {number}
{ans1} x {ans6} = {number}

{ans2} x {ans5} = {number}

{ans3} x {ans4} = {number}



]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. random={[40,1, 2, 4, 5, 8, 10, 20, 40],[24,1, 2, 3, 4, 6, 8, 12, 24],[30,1, 2, 3, 5, 6, 10, 15, 30],[42,1, 2, 3, 6, 7, 14, 21, 42],[54,1, 2, 3, 6, 9, 18, 27, 54],[56,1, 2, 4, 7, 8, 14, 28, 56],[66,1, 2, 3, 6, 11, 22, 33, 66],[70,1, 2, 5, 7, 10, 14, 35, 70],[78,1, 2, 3, 6, 13, 26, 39, 78],[88,1, 2, 4, 8, 11, 22, 44, 88]}; number=random[0]; ans0=random[1]; ans1=random[2]; ans2=random[3]; ans3=random[4]; ans4=random[5]; ans5=random[6]; ans6=random[7]; ans7=random[8]; abc 0 1 0 8 [ans0,ans1,ans2,ans3,ans4,ans5,ans6,ans7] 1 1 There are six factors.  

{_0} x {_1} = {number}

{_2} x {_3}= {number}

{_4} x {_5}= {number}

{_6} x {_7}= {number}


]]> $course$/top/Default for MSII/Test #3/L20.- Lines: Intersecting Lines, parallel, 4 sided figures with parallel sides L20-Lines-intersecting- parallel or perpendicular JSX Classify the pair of lines]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. abc 0 1 10 1 X1=pick(randDis,X1,X5,X9); Y1=pick(randDis,Y1,Y5,Y9); X2=pick(randDis,X2,X6,X10); Y2=pick(randDis,Y2,Y6,Y10); X3=pick(randDis,X3,X7,X11); Y3=pick(randDis,Y3,Y7,Y11); X4=pick(randDis,X4,X8,X12); Y4=pick(randDis,Y4,Y8,Y12); randDis randAns[_0] == randDis 1 1 var board = JXG.JSXGraph.initBoard(BOARDID,{ axis:false,grid:false, boundingbox: [-1.2,1.2,1.2,-1.2], showCopyright: false, showNavigation: false }); var p1= board.create('point', [{X1},{Y1}], {name:'',fixed:true,size:0,showInfobox:false}); var p2= board.create('point', [{X2},{Y2}], {name:'',fixed:true,size:0,showInfobox:false}); var l1=board.create('line',[p1,p2],{straightFirst:false,straightLast:false,firstArrow:true,lastArrow:true,strokeColor:'{color}'}); var p3= board.create('point', [{X3},{Y3}], {name:'',fixed:true,size:0,showInfobox:false}); var p4= board.create('point', [{X4},{Y4}], {name:'',fixed:true,size:0,showInfobox:false}); var l2=board.create('line',[p3,p4],{straightFirst:false,straightLast:false,firstArrow:true,lastArrow:true,strokeColor:'{color}'}); The pair of lines are {_0:disNames:MCE} ]]> The lines are {=names[randDis]} lines.]]> L20 - parallel - intersecting - perpendicular Choose the best word for each graphic.  Use each word only once.]]>  intersecting lines

parallel lines

perpendicular lines

]]> 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 1.0000000 0.3333333 0 true Your answer is correct. Your answer is partially correct. Your answer is incorrect.

]]> 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 intersecting lines

]]> 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 parallel lines

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1.0000000 0.3333333 0 true Your answer is correct. Your answer is partially correct. Your answer is incorrect.

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vertex

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a0PsQSv8SMWWNHbl4c1zrbcjeI+tNsQeqYYPUtYYiR2Zp9seW22IPUhlH6WYkr6mpJ2739tyTBB7lBo/UDm1pLH/ksBTBFdQracEsXuyJmWJIiCdW+ub+x+9sUR/Bj1NJIHY0arAQRBoEwGI3abdyDUIRBGA2FF4OAgCbSIAsdu0G7kGgSgCEDsKDwdBoE0EIHabdiPXIBBFAGJH4eEgCLSJAMRu027kGgSiCEDsKDwcBIE2EYDYbdqNXINAFAGIHYWHgyDQJgIQu027kWsQiCIAsaPwcBAE2kTgR3CxAUZaBa/uAAAAAElFTkSuQmCC parallel lines

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a0PsQSv8SMWWNHbl4c1zrbcjeI+tNsQeqYYPUtYYiR2Zp9seW22IPUhlH6WYkr6mpJ2739tyTBB7lBo/UDm1pLH/ksBTBFdQracEsXuyJmWJIiCdW+ub+x+9sUR/Bj1NJIHY0arAQRBoEwGI3abdyDUIRBGA2FF4OAgCbSIAsdu0G7kGgSgCEDsKDwdBoE0EIHabdiPXIBBFAGJH4eEgCLSJAMRu027kGgSiCEDsKDwcBIE2EYDYbdqNXINAFAGIHYWHgyDQJgIQu027kWsQiCIAsaPwcBAE2kTgR3CxAUZaBa/uAAAAAElFTkSuQmCC intersecting lines

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 perpendicular lines $course$/top/Default for MSII/Test #3/L22 - Polygons and Their Families polygons - triangles - quadrilaterals - names of polygons to decagon

]]> L22- Polygon Identification Question Identify each polygon]]> 4.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. abc 0 1 0 1 color=colors[0]; ans=sides[randS[0]]; s=360/ans; Y1=sin(s*(pi()) /180); X1=cos(s*(pi()) /180); Y2=sin(2*s*(pi()) /180); X2=cos(2*s*(pi()) /180); Y3=sin(3*s*(pi()) /180); X3=cos(3*s*(pi()) /180); Y4=sin(4*s*(pi()) /180); X4=cos(4*s*(pi()) /180); Y5=sin(5*s*(pi()) /180); X5=cos(5*s*(pi()) /180); Y6=sin(6*s*(pi()) /180); X6=cos(6*s*(pi()) /180); Y7=(ans==6)?sin(s*(pi()) /180):sin(7*s*(pi()) /180); X7=(ans==6)?cos(s*(pi()) /180):cos(7*s*(pi()) /180); Y8=((ans==6)||(ans==7))?sin(s*(pi()) /180):sin(8*s*(pi()) /180); X8=((ans==6)||(ans==7))?cos(s*(pi()) /180):cos(8*s*(pi()) /180); Y9=((ans==6)||(ans==7)||(ans==8))?sin(s*(pi()) /180):sin(9*s*(pi()) /180); X9=((ans==6)||(ans==7)||(ans==8))?cos(s*(pi()) /180):cos(9*s*(pi()) /180); Y10=((ans==6)||(ans==7)||(ans==8))?sin(s*(pi()) /180):sin(10*s*(pi()) /180); X10=((ans==6)||(ans==7)||(ans==8))?cos(s*(pi()) /180):cos(10*s*(pi()) /180); 1 (3+randAns[_0]) == randS[0] 1 1 var board = JXG.JSXGraph.initBoard(BOARDID,{ axis:false,grid:false, boundingbox: [-1.2,1.2,1.2,-1.2], showCopyright: false, showNavigation: false }); var p1= board.create('point', [{X1},{Y1}], {name:'',fixed:true,size:0,showInfobox:false}); var p2= board.create('point', [{X2},{Y2}], {name:'',fixed:true,size:0,showInfobox:false}); var p3= board.create('point', [{X3},{Y3}], {name:'',fixed:true,size:0,showInfobox:false}); var p4= board.create('point', [{X4},{Y4}], {name:'',fixed:true,size:0,showInfobox:false}); var p5= board.create('point', [{X5},{Y5}], {name:'',fixed:true,size:0,showInfobox:false}); var p6= board.create('point', [{X6},{Y6}], {name:'',fixed:true,size:0,showInfobox:false}); var p7= board.create('point', [{X7},{Y7}], {name:'',fixed:true,size:0,showInfobox:false}); var p8= board.create('point', [{X8},{Y8}], {name:'',fixed:true,size:0,showInfobox:false}); var p9= board.create('point', [{X9},{Y9}], {name:'',fixed:true,size:0,showInfobox:false}); var p10= board.create('point', [{X10},{Y10}], {name:'',fixed:true,size:0,showInfobox:false}); var poly=board.create('polygon',[p1,p2,p3,p4,p5,p6,p7,p8,p9,p10],{fillcolor:'{color}',borders: {strokeColor:'{color}'}}); The polygon is a(n){_0:disNames:MCE} ]]> The shape has {ans} sides.

A polygon with {ans} sides is called a {=names[ans-3]}.


]]> {=(3+randAns[_0])} == {=randS[0]}

]]> 1 1 0 1 color=colors[1]; ans=sides[randS[1]]; s=360/ans; Y1=sin(s*(pi()) /180); X1=cos(s*(pi()) /180); Y2=sin(2*s*(pi()) /180); X2=cos(2*s*(pi()) /180); Y3=sin(3*s*(pi()) /180); X3=cos(3*s*(pi()) /180); Y4=sin(4*s*(pi()) /180); X4=cos(4*s*(pi()) /180); Y5=sin(5*s*(pi()) /180); X5=cos(5*s*(pi()) /180); Y6=sin(6*s*(pi()) /180); X6=cos(6*s*(pi()) /180); Y7=(ans==6)?sin(s*(pi()) /180):sin(7*s*(pi()) /180); X7=(ans==6)?cos(s*(pi()) /180):cos(7*s*(pi()) /180); Y8=((ans==6)||(ans==7))?sin(s*(pi()) /180):sin(8*s*(pi()) /180); X8=((ans==6)||(ans==7))?cos(s*(pi()) /180):cos(8*s*(pi()) /180); Y9=((ans==6)||(ans==7)||(ans==8))?sin(s*(pi()) /180):sin(9*s*(pi()) /180); X9=((ans==6)||(ans==7)||(ans==8))?cos(s*(pi()) /180):cos(9*s*(pi()) /180); Y10=((ans==6)||(ans==7)||(ans==8))?sin(s*(pi()) /180):sin(10*s*(pi()) /180); X10=((ans==6)||(ans==7)||(ans==8))?cos(s*(pi()) /180):cos(10*s*(pi()) /180); 1 (3+randAns[_0]) ==randS[1] 1 1 var board = JXG.JSXGraph.initBoard(BOARDID,{ axis:false,grid:false, boundingbox: [-1.2,1.2,1.2,-1.2], showCopyright: false, showNavigation: false }); var p1= board.create('point', [{X1},{Y1}], {name:'',fixed:true,size:0,showInfobox:false}); var p2= board.create('point', [{X2},{Y2}], {name:'',fixed:true,size:0,showInfobox:false}); var p3= board.create('point', [{X3},{Y3}], {name:'',fixed:true,size:0,showInfobox:false}); var p4= board.create('point', [{X4},{Y4}], {name:'',fixed:true,size:0,showInfobox:false}); var p5= board.create('point', [{X5},{Y5}], {name:'',fixed:true,size:0,showInfobox:false}); var p6= board.create('point', [{X6},{Y6}], {name:'',fixed:true,size:0,showInfobox:false}); var p7= board.create('point', [{X7},{Y7}], {name:'',fixed:true,size:0,showInfobox:false}); var p8= board.create('point', [{X8},{Y8}], {name:'',fixed:true,size:0,showInfobox:false}); var p9= board.create('point', [{X9},{Y9}], {name:'',fixed:true,size:0,showInfobox:false}); var p10= board.create('point', [{X10},{Y10}], {name:'',fixed:true,size:0,showInfobox:false}); var poly=board.create('polygon',[p1,p2,p3,p4,p5,p6,p7,p8,p9,p10],{fillcolor:'{color}',borders: {strokeColor:'{color}'}}); The polygon is a(n){_0:disNames:MCE} ]]>

The shape has {ans} sides.

A polygon with {ans} sides is called a {=names[ans-3]}.


]]> {=(randAns[_0])} == {=randS[1]}

{ans}

]]> 2 1 0 1 color=colors[2]; ans=sides[randS[2]]; s=360/ans; Y1=sin(s*(pi()) /180); X1=cos(s*(pi()) /180); Y2=sin(2*s*(pi()) /180); X2=cos(2*s*(pi()) /180); Y3=sin(3*s*(pi()) /180); X3=cos(3*s*(pi()) /180); Y4=sin(4*s*(pi()) /180); X4=cos(4*s*(pi()) /180); Y5=sin(5*s*(pi()) /180); X5=cos(5*s*(pi()) /180); Y6=sin(6*s*(pi()) /180); X6=cos(6*s*(pi()) /180); Y7=(ans==6)?sin(s*(pi()) /180):sin(7*s*(pi()) /180); X7=(ans==6)?cos(s*(pi()) /180):cos(7*s*(pi()) /180); Y8=((ans==6)||(ans==7))?sin(s*(pi()) /180):sin(8*s*(pi()) /180); X8=((ans==6)||(ans==7))?cos(s*(pi()) /180):cos(8*s*(pi()) /180); Y9=((ans==6)||(ans==7)||(ans==8))?sin(s*(pi()) /180):sin(9*s*(pi()) /180); X9=((ans==6)||(ans==7)||(ans==8))?cos(s*(pi()) /180):cos(9*s*(pi()) /180); Y10=((ans==6)||(ans==7)||(ans==8))?sin(s*(pi()) /180):sin(10*s*(pi()) /180); X10=((ans==6)||(ans==7)||(ans==8))?cos(s*(pi()) /180):cos(10*s*(pi()) /180); 1 (3+randAns[_0]) == randS[2] 1 1 var board = JXG.JSXGraph.initBoard(BOARDID,{ axis:false,grid:false, boundingbox: [-1.2,1.2,1.2,-1.2], showCopyright: false, showNavigation: false }); var p1= board.create('point', [{X1},{Y1}], {name:'',fixed:true,size:0,showInfobox:false}); var p2= board.create('point', [{X2},{Y2}], {name:'',fixed:true,size:0,showInfobox:false}); var p3= board.create('point', [{X3},{Y3}], {name:'',fixed:true,size:0,showInfobox:false}); var p4= board.create('point', [{X4},{Y4}], {name:'',fixed:true,size:0,showInfobox:false}); var p5= board.create('point', [{X5},{Y5}], {name:'',fixed:true,size:0,showInfobox:false}); var p6= board.create('point', [{X6},{Y6}], {name:'',fixed:true,size:0,showInfobox:false}); var p7= board.create('point', [{X7},{Y7}], {name:'',fixed:true,size:0,showInfobox:false}); var p8= board.create('point', [{X8},{Y8}], {name:'',fixed:true,size:0,showInfobox:false}); var p9= board.create('point', [{X9},{Y9}], {name:'',fixed:true,size:0,showInfobox:false}); var p10= board.create('point', [{X10},{Y10}], {name:'',fixed:true,size:0,showInfobox:false}); var poly=board.create('polygon',[p1,p2,p3,p4,p5,p6,p7,p8,p9,p10],{fillcolor:'{color}',borders: {strokeColor:'{color}'}}); The polygon is a(n){_0:disNames:MCE} ]]>

The shape has {ans} sides.

A polygon with {ans} sides is called a {=names[ans-3]}.



]]> 3 1 0 1 color=colors[3]; ans=sides[randS[3]]; s=360/ans; Y1=sin(s*(pi()) /180); X1=cos(s*(pi()) /180); Y2=sin(2*s*(pi()) /180); X2=cos(2*s*(pi()) /180); Y3=sin(3*s*(pi()) /180); X3=cos(3*s*(pi()) /180); Y4=sin(4*s*(pi()) /180); X4=cos(4*s*(pi()) /180); Y5=sin(5*s*(pi()) /180); X5=cos(5*s*(pi()) /180); Y6=sin(6*s*(pi()) /180); X6=cos(6*s*(pi()) /180); Y7=(ans==6)?sin(s*(pi()) /180):sin(7*s*(pi()) /180); X7=(ans==6)?cos(s*(pi()) /180):cos(7*s*(pi()) /180); Y8=((ans==6)||(ans==7))?sin(s*(pi()) /180):sin(8*s*(pi()) /180); X8=((ans==6)||(ans==7))?cos(s*(pi()) /180):cos(8*s*(pi()) /180); Y9=((ans==6)||(ans==7)||(ans==8))?sin(s*(pi()) /180):sin(9*s*(pi()) /180); X9=((ans==6)||(ans==7)||(ans==8))?cos(s*(pi()) /180):cos(9*s*(pi()) /180); Y10=((ans==6)||(ans==7)||(ans==8))?sin(s*(pi()) /180):sin(10*s*(pi()) /180); X10=((ans==6)||(ans==7)||(ans==8))?cos(s*(pi()) /180):cos(10*s*(pi()) /180); 1 (3+randAns[_0]) == randS[3] 1 1 var board = JXG.JSXGraph.initBoard(BOARDID,{ axis:false,grid:false, boundingbox: [-1.2,1.2,1.2,-1.2], showCopyright: false, showNavigation: false }); var p1= board.create('point', [{X1},{Y1}], {name:'',fixed:true,size:0,showInfobox:false}); var p2= board.create('point', [{X2},{Y2}], {name:'',fixed:true,size:0,showInfobox:false}); var p3= board.create('point', [{X3},{Y3}], {name:'',fixed:true,size:0,showInfobox:false}); var p4= board.create('point', [{X4},{Y4}], {name:'',fixed:true,size:0,showInfobox:false}); var p5= board.create('point', [{X5},{Y5}], {name:'',fixed:true,size:0,showInfobox:false}); var p6= board.create('point', [{X6},{Y6}], {name:'',fixed:true,size:0,showInfobox:false}); var p7= board.create('point', [{X7},{Y7}], {name:'',fixed:true,size:0,showInfobox:false}); var p8= board.create('point', [{X8},{Y8}], {name:'',fixed:true,size:0,showInfobox:false}); var p9= board.create('point', [{X9},{Y9}], {name:'',fixed:true,size:0,showInfobox:false}); var p10= board.create('point', [{X10},{Y10}], {name:'',fixed:true,size:0,showInfobox:false}); var poly=board.create('polygon',[p1,p2,p3,p4,p5,p6,p7,p8,p9,p10],{fillcolor:'{color}',borders: {strokeColor:'{color}'}}); The polygon is a(n){_0:disNames:MCE} ]]>

The shape has {ans} sides.

A polygon with {ans} sides is called a {=names[ans-3]}.



]]> $course$/top/Default for MSII/Test #3/L23- Frequency Tables L23- tally marks What number is represented by the following tally marks?]]> 3.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. amount=shuffle([2,3,4,5,6,7,8,9,10,11,12,13,14,15]); IIII"; T6="IIII I"; T7="IIII II"; T8="IIII III"; T9="IIII IIII"; T10="IIII IIII"; T11="IIII IIII I"; T12="IIII IIII II"; T13="IIII IIII III"; T14="IIII IIII IIII"; T15="IIII IIII IIII"; ]]> abc 0 1 0 1 amount[0] _err == 0 1 1 {display} = {_0}]]> 1 1 0 1 amount[1] _err == 0 1 1 {display} = {_0}]]> 2 1 0 1 amount[2] _err == 0 1 1 {display} = {_0}]]> $course$/top/Default for MSII/Test #3/L21- Integers, Absolute Value and Adding Integers/L21- addition of integers L21 -Adding Signed Numbers (--) Calculate:

]]>

{A} + {B} 

          

{a} + {b} = {=a+b}

The signs are the same
add the numbers

-{=a+b}


Keep the sign

(The answer is negative because 
{A} and {B} are both negative
]]> 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 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. a={1:10:1}; b={1:10:1}; Sa=-1; Sb=-1; A=Sa*a; B=Sb*b; abc 0 1 100 1 b)?(a):(b); AnsSign=pick(a>b,["negative","positive"]); NumSum = a+b; Sum=A+B;]]> A+B 1 1 {A} + {B} = {_0}]]> {A} is a negative number.

{B} is a negative number.

The signs of {a} and {b} are the same.

Add the numbers.  The sum of {a} and {b} is {NumSum}.

Use the same sign. The sign will be negative.

The answer is negative {NumSum}.

The answer is written as {Sum}.



]]> L21- Adding Signed Numbers (+-) Calculate:

]]>

{A} + {B} 

          

{A} is a positive number.
{B} is a negative number.
The signs of {a} and {b} are different.

{larger} - {smaller} = {=larger-smaller}

The signs are different
take the difference

(Ignore the signs. Subtract the smaller
number from the larger number)

{=A+B}


Sign of the larger number

Do you have more debt (negative) or more wealth(positive)? 

 The larger number, {larger}, is {AnsSign}.

The answer is {AnsSign} {Difference}.

The answer is written as {Sum}.
]]> 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 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. a={1:10:1}; b={1:10:1}; b)?a:b; smaller=(ab,["negative","positive"]); Difference=abs(a-b); Sum=A+B;]]> abc 0 1 100 1 A+B 1 1 {A} + {B} = {_0}]]>

]]> L21- Adding Signed Numbers (-+) Calculate:

]]>


{A} + {B} 

         

{B} is a positive number.
{A} is a negative number.
The signs of {a} and {b} are different.


{larger} - {smaller} = {=larger-smaller}

The signs are different
take the difference

(Ignore the signs. Subtract the smaller
number from the larger number)

{=A+B}


Sign of the larger number

Do you have more debt (negative) or more wealth(positive)? 

 The larger number, {larger}, is {AnsSign}.

The answer is {AnsSign} {Difference}.

The answer is written as {Sum}.


]]> iVBORw0KGgoAAAANSUhEUgAAAbwAAAByCAYAAAAoJWSvAAAgAElEQVR4Ae1da/RcVXUfP/LRj3xMFkFQ62ogsMjUxwqtXaW1XVWgyMuaAFNpbW2gtotW4Y88okHMiCSBSCBBMBheCTETARcRNCYgyd8AEsgg4WlAJAkQTCTA7vqdmX3OPuee+/zP/zEz+64169659zz2/p199u88762RHoqAIqAIDBgCu3bto40bX6BFix6lkZFNdNJJd9CcObd5v89+do15tmDBFhMW4fUYbARqk6negQOHrKHB2Mr+RkdfnUzxNW9FQBGYAghs3vyyIbbTT19HM2eupA984CqaNm2ZIbf58x8wpLZhw7MJ/3L33TvNs4suesgSIccFQYIoEWbHjtengJYqQi8QGDfCAxmBwNB6YoM6+ujlxhhhVPgddtgia2hh66vIfzZuTg/nww9f4qXJrTgYL36yNccEu3v3/l5gqWn0GQJwlLAB2EWajUrbyruWNsv2hrN0tnv3Hhw3lLhXM+gOGvqh5wZSgg+ZPftWArGtWrWDetEIBo4oM5Qd/Af7LZTv+effb/Jm3zGe5TluhjLECfeE8GBkS5eOElpYaFnBMYCMYCBwJEwyE1ERQV5sjDhzK44dEDs26ZxAknnOrBfPyxA8sGSZe3UOdeeKnKcbHIrEi8uV5eLylbhPhUYEE8BNNz1usASmkP2DH7zGlDfrBT1Yh7HYqNSfscFZDqdx3rKOQCY4Uhkn7ZrTijX2uFcTliv+c/lxPqivkBekP9UPlCPKcO7cDaZBC31AcCAljBJN1AG8gBvyZjy5PMOGNj/HGXaWV8eqPpdlK/OU10V8CduDtOG86yK2g/qUlQ4aKdLW2b6l/PBbkK9Ifnm2UJnw4NDQygLgqHyoSBAexqlHHIEyQ7ihIUijqHrNTp0NsKhz554Qx8MZabEcIZHCWGONCCYYacwwcE6nyjmWN2wSDoQJAI4SaQNTyD5VWuU8CgKZUKGL6M+9xTI9Gel0OB/UV5SDdMZcLsAUsnBeE4kX8mL74gY0yhFlCNKbCg2pWO0OG9rQgX+9cNSxPHFPli3nF56L+BK2B7aBImdpO2mEnUfIIRmzzUkd4GsgH/KDX8E1nlc5ShMeChYtHGSMc1GnWUU4jTNYCMSIEwZexNGnhQlJHBVBbbKa3bCT4cYMt7a5F4MzO0I5VYCGL8ctcuaFJChTzgPpwmlyHiBdbUBXK8dBjgX+QaMN9oKGEBpBZY5ShIeKAMaGweqhCCgCw4UA975AanKqQA7xMSFmnRGeGzCyRT9caKq2Y0UAo4no+YP4YEdFjkKEB1ZFdxKtrokc3iiigIZRBBQBRUARGF4EQHwYKUBDKu/IJTwwJ3p14zkOnSekPlcEFAFFQBFQBLIQwMgjRhayOmWZhIdhi7wEsgTQZ4qAIqAIKAKKwEQhgOF2jEamrd5NJTz07DAxnRZxohTQfBQBRUARUAQUgaIIgLswxBk7ooSnZBeDSu8pAoqAIqAI9AMCWGCJNSfhkSA8jH9izg4LVfRQBBQBRUARUAT6DQGMTGL1ZshjCcLDpj7sc9BDEVAEFAFFQBHoVwSwiCVcuekRHt7egLem6KEIKAKKgCKgCPQzArFenkd4eM0L3m6ghyKgCCgCioAi0O8I8CvpWA9LeJi7w+vCdFUmQ6NnRUARUAQUgX5GgF86zjpYwsO8Hebv9FAEFAFFQBFQBAYBAbyFBYtX+LCEF3b9OICeFQFFQBFQBBSBfkUALyXnwxIe3qiCXerDeLRbDarVauZ33JXb6M0336T33nsvE4oycdpNl/4JVz1Bf/rTn+j999/PTF8fTgwCsmzqzXbhTGX5N1rF4xXOgIhkHtIupcxRe2o36bzZHXs2dn3clTT6xhv0zjvvdOwu73kZIQc0bC7GA6r3IKoVJTzsvav2WZU2NeuicnWJgwkkcW60phym7WbdEt6Ms79DGzZsMKSXJWiZOK2GwOdz36UdO3bQH//4x6zk9dkEIeCVTQnblOVfhijLqCXzkHbpyRzaU7tJsxN1cA597c476bnnnqNDO67Ofn5o4j6oWgaLiQ6bifFEC6P5jQmBKOHhO1RZL91Mz3GwCG/ayRfTD37wA9q7d2+6ymh9C5LMiyNbi9NPu5x+9KMf0SuvvJLbi4wK0G5SnR3avLvosf37tccYBarYTVk2HnFJnBstCvtwsvy9eMWyLRRK5iFtTMoc2pOMM/20K+jaa6+l73//+/TDH/7QNLSe/PYJtnEXe47Rh747ZFn1qE5kYdx3+Ay5wJLb7JCmZMGx4iMr3Xg5g7HKKONLead97ut088030549e2SQxHXZOCDQO++80zgfEN6rr75amfBsC/4j/0or77+ffvvb35rhqoSQeqM6AtKJ1puTT3iBXabZ0/rzeDRhBp18yfdM423r1q301FNP0R/+8Ae659zs5++++251zCYrpuzV9rBOpGE8WWpqvtUQwN5y7DHHMTCEhzkxVFb8is6PIRx+ZcirShwAjfkTDCmx8zl48GBu6UXnEdtNOoF7eEecQVcuX06/+tWv6MCBA5npIa2iuCBsGcdXJm0ICTmyyqls/pmKV304iYRXxMbi9tSmq+3c3RF06sgSuvfee81oBcK/++5TOc/jZNfr8kWRlE2TixHxEkfFOsHppNlbHGOO5c5p8V2I+FVUl0jQqulHkhrKW3J/+aQRXrvVpEbdzZ2Zub56nRrN5PBRWim12y06d/ZsOp4JwJyPoVlfWEXb9u0zJOA7+Tatb8x2hFGbRWdftoW2LTjeDvMke3hV4vgSy8UHs76xxbS04fAd0c6l2/fto8fXzPPmV2addSlt3bPHzPdBD29ewdO5RrMu/SXt27fP9vSQ52zr/NCqn0XHfeE22rYtgku7RefNnm0xSMy7HnelwZMX2xRO2y4GOp4WbNtGd8/j4bTj6JIVz9Mbb7xhHB9swc//WDr2zJuN7iByvwz94eRwBMFhWqPwGVl53DNZNhw+C2cOE+aDdOpiLrveSPYKfauQ/8rZmJSZ7emp76SX36xLN9HoN52Nh+WL53KhVq/LF5oWTdPh2vs6wYgXsbcYxrYRWLC+uOHjYrqUkQ9hWzytUm/Q1FsZwdpM/hkvkcbLpHFMCuG1GgHRBc67FhlCCmFzFYOHaMLzX9F3H3nEVOSOw2zTIo8AwvCd/z7hVYkTSuo76BlnXU3r1q0zcjkdPkxHHhmXp1b7S1q0ZYshBzdclQw748yFZsj0pZd+QevssFYyXK32aYMLhmtMC1OQQOgI7f8ZZ9I1q1fT00/fR2vtkFiZtJP6nfhfP6AHH3yQHlvIJBhJ79P/S9u2bUv2XqXMga14ZJXxjNenuDJwJOilEdhmjPAsTkHYInZMVN7GpMxsT6Oi0RbKM+PMq2j5v3w4tUGD5z/5yU/ozTdHMxtV6baTXr5vv/1YqTSdbsk0nV5l68RLdsTCpZ9tbzIcY4xGgWw0OXmCtLr15b7/ndnFvJgu8FMy30T6Xn3w106wPSe9j96Re8wnnvA8Z9Ugu6K73fJWe7JjSSsuYxjHf5HmfX2JGdZbvnw5rVixkM44whnfnAtX0q9//WvC8KFnSDPOppHFi2nJkhH6j09M9xyBJLwqcWLyynSQPhbFYI5Q3odxzzj7v+nqW26hG674Cn1iutDjghXG8WNl52sPX05HsmOddjJdfM01tHjxYrr++uvNwoQHLz7G6vOhuf9Hl11/PQGbhRfOsfdrn5pPP/vZz+itt7aLRsDf0/xv3mjSWXiBC4vFEt/73vfolltuodb//LlNIz/ttzKdwye/cgPde+9lNJd1OepcunzZMlq2bBmtXLiQLpwzg2bMuTBlxWyLGhyvJlu38j7wk8+kg3D3ZRl4NldiSBNlV+eRiXaLGqKnl+eIZP61CnYp7WnPnq30z7bhNI0+9/XvmkUrwBTzx88992Dmc0mavSnfe2n7t1zPskiaHh49qhOYSuj0zoR95NiblMNhvFX4qHL1pUj9PnhwrbPrHPnQUJKr4/PsLOaXhuWe/D7eBBOeLKQ6JbY9SSfjOat40aDFhTmKn/70p/Sb3/yGdu/eTVu+Mcs65WmnjNCPf/xj03J1xnEUnTKymJYuXWqePfLII7TgM45cHOFJ4y4aJ77QJaw8vCgmvA/iuvHGG42TX/XvH/X0WLt2renl/fHxhfQxdvbTTzXEDWf2i1/8grZvX0cLjmdd/o6+fN11ZgHOE088Qa++uoX+byY/+zj91803065dN9G5nNaJX6XrrruO7rvvPnr55U108THdsB//N0OYo6P3lEx7F7277jyrAyo8ygMrBtetW0YPPfQQbd++2BHeEafTl79xHW3cuNGUIxZYPPvss2axRWy+U/bCbGX37Kcjf/SZven3vqsSnhcvWMEbPvMtWdaH4jYW2g3b04EDT9BXP8ZlPJ1OGbmWbrvtNmMb2Aqzb9+2jOf30rdP4LhFbKdI+a6jq0qmKYdmURfHXie2m3rTGeVpOXvPsbc4xqvpvML1ZTQxVZKny5tv3lFYPtiRHSnTIU2/WgX/5NtWDOHhm0F4j2avDmksfoUXLawoocnnEUIMBNy5cz19a+7xdLx18lxhO+dpJ19Cq1ator17haHW5tC/XttxBC+//LIZLovP4VWJMzbCQy/tl7/8pen97b9rniOLv/gS3XrrrWbxwfvtRW7Ocvpppgf385//3DxDC9ESGFfM6PkT9O/XX09bttxB37TYfZK+csUN9Pjjj9OTa8+1eWPZO0j4mWeW0znRtHzMazVOewsdWHOOTadW/5JpZNx///30+9//nt5++22D/Zpz/Pgf+chn6PLbHja9ciwa4HnDoOj93mOXwKzd1etu6waTmxhZkDZp45hemth8IMkzGBqFLKnx8FDkVeP8EwqYgM6BFrZLf2TANdD20Pvvt0V5TqdTL11KwPv11183OL733s6M52uFLH6ZoLHifmXKd03pNJ+4yg1xQ7ex14mD3mrocEg+zd5k+TqMt4pFP3n15Rl68mo3r1pUl6LyRc1Jb0YRSBCevBGNUfKmNBbpXCjHifjd9GzCk3m4yigrZo1479KerVe6hSpHfJ4uXdpxBG+99ZbRrL3IN0zTYq4SJ2Urg5TVVZ6k41q5cqXZrmBao9Jp/sX5bquEXJHWJbwtW7Z05rnk8mzPSfm41Gofpy93Mdh3+xeFMwvDfZT+6bLrCXK9+PMRh2HBtD3Srn+JbrrpJnrxxRc9B4SVg5eccWxShj8/hS5/+LV0wkvYkustYXjR9gC7ZGX/13y7kmVTxlZT48GiZNllEZ4sy6J2GQyFS3tC/XG9tA7hoceMxkXnyHhewXZyy7dCmo+JIVDoNuY60dWcT0XtTZavxDgctfB9j6gvL75IYW+1iC5F5WN99JyPgOQ308Pr9XfwpLF4ToRkD87NoziR855zSBnuGDr/ihVmjglzY985e4Z1ns5QV4veSaeFumnTJvu2Eynv2OKMrYfHQ1NGS+k0SxCe3bIw/TQzv4cW8ooVK4zjQIUD6WBOB2csGrlrXpfkjjySplkiO4qOOqlh5vQwzIlh4X3bFjjCK5j223eLXmr9S4a00dsIDzjkrWvW0FfPOpGmi7nLWu2v6ftPP216e2GcZOPI2QQ4xpUpCM49CxeSuHBu0YrJK0GovgSp8RBMll0W4VGrgl0mG0rObjIIraNUOiFK8u1V+VZIUy5icnWxW68krkXrhF9s5l8Re5PlK+VYz29Nyqsv+/YJG6yRTMMIkaYLkWmglK8PEUX1lkEAL1TB5nMchvDwDk28S7NXhzQWn/BcK7wWtLRN3jlOxsonW46f/poZ9oBTx3ze6q+Iua+TL+72jCThdVq+WLTRaflKmaRhVokzOYS3efPm7kpGMUdRwxzOYrr99tsJQ57oBcof9gO+suUbdhvEp+deS0uWLKEbbrjBDGGCEEGQ69evp+eff54OHVonhksLpP3KK/4cXpfwYhv60aNFWWDObuPGW+jsE7mnOY2+eM1q+t3vfmdX2VkbCIcVG/y+0m5DSthSvdGwQ5y+PUpinGzCK2qX40R4VNJ2CpVv+TTDXpEj86AhkUN4rk5Ii+lcF7G3qBxbryxRXw5VJrwi8mERjs7hJcs27Q6/WMUQHj76is15vTrSCc93MGhtV1ulKSvSJ81iB/RWHv3RFa4XgkUSJ19ihwLdGyZqVJt2Ci1ds4awqs222Lq9G9kSqxInhqHEQ6afdt+kkdoCjOuOV4yhongyTz+VLl3eMsOkWOH5xBNr6JwTTqATFj5uCAbvVbQ9Qtu765LNn/0ZzZx5Gq3etpcOdd+vWCptxJE6xAjPkFKdzlv3FO04dMjks/+xu+jMYx3hff7K5WZBUvSVV4LU7NCSnW/zGzKd5/5wJnCWZeCToegVYr65O73Hs3zp8QLHnNnDI7+8CtqlzFva05iGNCmQJc92ipRvhTTTdQtwlYTnkbXzB1wnbJ0sYW9uD51oBMtpjgL1pbQuW6+keq1ofXhSV2nags2/8Agv/EhefvTsELKgfSeCeDFHxA6uc67nOAmksjZY7GAdnjBE6Qzee289nSWeeeFnzqQPdZ+NNU4MGYmHTD/tvklDkoVXuQPH1JX7mK8/YIjt7bfvprMsYfi4ss7HXf4IvfDCC4Q5zDV2M3g8LOLMveNNs6H93XfX0Vmz0sMhrEz7/fXc66oRFq14rXVjCrEXHbv0p596qVkhitdiYQFL8kjakrQ3ia/R3ZKhS0mGkXERws37OZk4TFY8j+hzbLmKXcq8pT2NlfCMLL0sX/NGlfWlbCY6n85z4xXrhH15gRwZivgCaW/hghO23TXnuEU1XJ/CM9eX0rqIHmSYJv5L+d55RwnP1eLsq8SQ5sjIJsKvV4eskPFPp7TNmxfkmylQoPV6g5rclM4R5tChHbT8a5+nGcJwP/zhv6XLbryMTmTyskOanaFG9B6+/JmP2Dm+Wm06zblgId1443z6pI3jeoUQoUqcUHT51gbpoCRO8r6JLyr3tJPFohUi84qokTPlQo9p9Kn5N5rhS+w5euONUfrOf/4jHSH2JALfo476GzpvZJnZr7d69Wp6/vkVdA4vG59zodlvZ/bBrVxIF5xxhMPpb0ao3W6bBSTYSFws7ee9Ic1pn4sQHhH9Zu236eSPfczlVasRyvGMC75llqRDzqwXbUsME8PkraYdyjT2ldgH43+Ch8nMlV+bmt5LEurE/CXzTcQTZYcFNHlHWRtLsycQnlvlF1+0kv0c80e9LV/oXibN6FBihPDK1gl+S0pRe9u53m2pcXVzNZ3LL68oUF+ivcQcXYrKh5dG6JBmXs3qPE8sWpGvXimWxOSHwvAdeihYxo/FKph7wrwTNkhjXxreZoI5KFzjlVs4YCRwnq1Wyy7ewL4wxHnggQfMZmyOP5Y4MXSQHmTBEn8pU9p9pIF9hphDg14yDp7t37+fsPAGuoOk8MOeK8y3oTeEuTI8hz7YeI4f8sYP6a1Zs0bsWTyWvrBoldk2gLfq33PPPXTX4nmuMTH9VLr2zjvNdgI4jiJpM0ll6Qc9IOvOnTvNFyRYNsgHeTH/iP2VsX14MYz79V4Vu0zDFUO/2HOH7TiwDdQP+SmqvOeQpZflizLpZZpV6wQTXhl7CzF225eK1xd+AXVY74FLTJcy8vWrvU+03AnC69evnTPpPfPMM+YFythE/vTTT9Nrr71mnDMWQWDoDkbEBwwfm5rRY3n00UdpdHTUvNQZ73Xkzc69iMP58RkyIF3kC1LiOam0+4iHZ1jGD/1kHDxj3aEjXh4N3UEccG54BicDUkR8bDzHcyxaYYyg6zrxmrDpp/2HecsL8sIGZbeBvbNhHBUW6WM+r0jaPO+XpR/rgSEn7Incvn07Pfzww+aHN+TgixLACfoM+lHWLtNwRdnAke7atcssAkI5s7MHhnnPOUye7RQtXy63XtlM1TrBcsCWitpbiLHrHdeoaH1BfYzVe8gT06WMfKyTnrMRkIsyzaIV+Tbp7KhT7ykMBJUPRowfjAj3UMFwX1Z2ll7GQe8BYcYjDufHZ+TDMiE/PtLu43nWMzyP6c7pcnyQBuMjMfLmmsTQMIb/7O9D88zbXLAKFp8hQn58QLbUtDlQAR1iciJdlOEwHWXtMs02OB2UVQzDvOeMeS/Lt5dppunNeeTVCYQLdUuzNy8vOSct64i8jtQXLw1R71kOyIswoU+QdStNPtZZz+kIJAgPWxJwU4/hQ+CN0Tto3l9/SOzB65DdRz/6D2a+D0Ol2MuHYWAMdclKOXxoqcbDjoDWl/6zALko0/TwlPD6rxB7JTFajlgFyfOLmDvD3CdvUsfqNOxvfOmll7zeXa/y13QUgX5CQOtLP5VWR9ZFix6l+fMfMH8M4c2efStt3vxy/2miEo8ZAfTYUIkx7/nkk0/auT7Mpcn5TQy56KEIDDsCWl/6zwLkokzt4fVf+Y2LxKjImP+Uc308vzkuGWqiikAfI6D1pX8KTy7KVMLrn3JTSRUBRUARUARKIiCn7JTwSoKnwRUBRUARUAT6B4Gjj15OO3Z0XlqvhNc/5aaSKgKKgCKgCJRE4LDDFtGBA53tVEp4JcHT4IqAIqAIKAL9gUD4cXNDeHJSrz/UUCkVAUVAEVAEFIFsBMJvvSrhZeOlTxUBRUARUAT6FIENG56lk066w0pvCA+b8rA5T48SCLTbxN9GKxGrXFD+3lvkszalEuJ0+FX/pSKPU2CWKaZbBrb4UkDdvsoJXy9wpZD1bJy00GQVAUVgCiMg37ICMQ3h9frzQFNY/wzR5Ac/xbskrXPtfkkbKdjPv4h7GSlXfpRFCmUS5XT6gfCysGU9anXCV8wbjTrZT/NkPSuDlYZVBBSBgUEg5DZDeEuXjtL5598/MEpWU0QQXr1O9cSvSfbLZuyUY72TapnHY7ETz82HP4Sa/KK3SZjT6SfCi+jM36CLqZH1LA6u3lUEFIFBRyBKeKtW7SB8MWG4Dya8ce61lQGZiSri/P1kBojwfMW8f/wF8hjhZT3zEtE/ioAiMDQIRAlPfj5haJBIKKqEl4BkPG8UJnMnRBapZT1zKeiVIqAIDBMCUcKTX4QdJjB8XUsQHjvrsKvRvW/mldotajbq7rty9QY13foKP2tqU6vpL8aoN1vU5nwyenjs6O336+ycY42seJyOudEuIRdRu9WkRl3OadapAdkCDdL/ltTNk7WTKg9XJnVsULMpMBa612qup15YB6/8hN51MZxNJTDx0itjD8ijQXWJez2Oe2Hd0gtInygCA4tAlPD27j1IH/zgNQOrdDHFekh4DSavOjWwuKLOTjk+x+ZIKwzfJZoMwjMOz+ZX6y7mwIKOJtkFjEwimJc0pBDmE5fLEQ0vEmG9alTLkEniXVo3ltWyNRYJNQ2OTAD1OvTDr9UhZOjfJQfvGcjJEmIBHZigJJ4mXUGeY0qvGO4Ss87iHIe7hKWUbrJQ9FoRGBIEwvUpZtEKdJevXxkSLAI1mfCcY+w41a5ztexhvGiHOKT3QWrsrEEqcMYiB+ucwji8AEb0SEy0NstThFwKzuGVkYt1SRBbm9ghh6oIdTuXVXTjfCOJZ+UbfcZpFdWBwwOnRBxRvolnKZjI9MraQ92RLOOKxo01Q067qCyciJ4VgSFCAJ+9w+fv+LCEN23aMsLQ5vAegmBML0gO43UIzGLDziZ0ynw/4YTSnSU7aru83maSHkcG6VwXJLwKcoUqmvxYz+hDJ10l3TLS5vRi2caexe5Z6WL58L2w8dGNVDm9XuFuhcfOmI59xrCwDa/oQ5GIXioCA45AOHppCU8/AsuEl2xZJ2yCHWPoUNLumwS66XvObwxE5QlVMJ1Q3ly55BApDyPi3B2i9XTxBAJbU9MMB8aHS61TDtPIwDDLySefcf4ldMjI2+nTq/Qq2IOFuIJuNq5eKALDhYDszFnCw+tX8BqW4T2U8NwQrHOoyYUioucbkpVnPJzG5BNeYR0KEl5v0osRXlEbZGxFWcRGJTLLxyss/aMIDCwC2HKHrXc4LOHpC6SLOhsx1Bj2mDIdZszBseMqSQoJ0yyYTiivSaeCXIn8YzcKyhQ65QwMk704l2/yWU7+Lqq7ysjb9fBSysql4q4y0xsL7hV0c1LplSIwVAjgtZl4fSYOS3gXXfQQLViwZaiA8JWdDMIrOBcTkoIvePHhw8KElyNXIv/4jSQJiXBMBqFufD8ia1Z6sWexe0KC5GVG3gjc2/RihFc8j9KyJLXVO4rAUCAgXyBtCS/crzAUSHhKTg7h2fdypjn+tBWDnuw5jjLTkccdb6pc3Xy9FYOBLPYvr9Iso1uGrFlOPvosLf80HTLyNlF6ml4cd7uaN8QMzZpWy63SLCuLLRS9UASGCwG5z1wJz5b9JBGeXdyB+Zhgnxb2m2HhR8T5WbG7F9ZRijRsJynTkccdL5JlEsGcldvfxnsKxcb2UBj7n4feSuiWISvLY/Wy+ThZw2ccp5AOGXlzVr1LLw13H7OsfXilZGEF9KwIDBkCcqWmEp4t/MkiPAiAfVyOSAzxmdeydJ1fAcJDKn4a4s0umY48zfF2gEm88QNfKsAesbZb4mIhjF6U1C1DVnbwIal1dO8s4Ig9K6xDRt5Std6kl4V7+HYaNHrS3rTiNt13FtOULR+pmV4rAoOJAO8zV8IbzPJVrRQBRUARUAS6CPDWBCU8NQlFQBFQBBSBgUZACW+gi1eVUwQUAUVAEWAEEoSHfQrYr6CHIqAIKAKKgCIwSAgkCE/uRh8kRVUXRUARUAQUgeFGIEF4c+bcRvgQrB6KgCKgCCgCisAgIZAgvKOPXk47drw+SDqqLoqAIqAIKAKKgP38nV2liQ/AYoOeHoqAIqAIKAKKwCAh8IEPXGXUMYS3e/d+OvzwJYOkn+qiCCgCioAioAgYBDzCC78KqxgpAoqAIqAIKAKDgEDi1WL4VhBWaeqhCCgCioAioAgMEgKJl0fjs0D4PJAeioAioN1W1JQAAAzDSURBVAgoAorAICGAxZhYlInDzOHppvNBKl7VRRFQBBQBRYARwHY7bLvDYQjvs59dQ3ffvZOf67kIAu02Ff1eQJHkJiOMees/vrdnfnVqtCpqVPArA+Oi42TmPS4KDXCiWlYDXLhTV7XEB2BnzlxJo6OvTl2JJ0yyzqds6pYEOt+Ba4ZEwB/frDWoNWGy9Tgjdj743E+jQY1Gnermk0QV8uG0Yt/mqZBcqSiTmXcpQTUwaVmpEUwCAjfd9DjNnbvB5Gx6eLwLfRJkmUJZ8vfwut8e65JAp/cTfOyUCa/gd+qmkJJWFP5gbDGO4o+S1inKiZPpyCYzb4umXhRCQMuqEEwaqLcIJAhPN50TMQHUQgZot6iJj2/2bVcubjxZH1NNxlDCS2Kid0ojoIRXGjKNMHYERkY2EX44TA+PN+WNPel+TYEdetCT61d1CsithFcAJA3SWwSU8HqLp6ZWCAGP8A4cOGTeM1Yo5gAHYgIoNI+VWXHb1GzUuwtBeEGIOHNXsZuGyQ+9SBmn3ogPHWbg3241qVH3863XGxROP9qerJin7AzbxucjGRce2pVnVsWfmwn0z9GlI7fAp1anRrNVfEFQVlm0U+ZkY2tzvPIAll2Z6k0xTxvoFmJoAekUVGHdCuUdFL4Xp6D98FB8IKdJmXEMh+lz8rH21W45zGo1qjeayTLkPEz+AZZmFCVWMBOAZQCt/h0sBM4//35aunTUKKU9PC5bdgZwuLYW88Pg7FVc+czNA4JsGo0G1dlxIt1Gg+wCGHYkCMOrJDFvaEkrZb5MZte9liTWWYCCdByJeP4NxCjkYjkbjTjJGKdtZYQj6+jVaDQdmTIe9XopXZzcvHCGscA8asRhRnT3yVYEaDW7snQWHkHnTGwT5YF4wJAbAiXKlsQQuV0UlKFbbt5CL75MxOnYV6aObOOeQXQTtGUY4J6aD9tXg5rNRqeBB9IStpUoQ5uHsxNeMMUNqViDs5SdJOQNy5EB1POwIIAFK5jHw6GEJ0q9JXtZXeKLtjm54gaOgyumX2l5uDQgME4DZBeQDaeTmE8UstpLdmJwzIGw2HaQ1nvjnluggk3Wv0jRgQNV0YXjJIgNvbKOMy0kG6cTBm41TC8jgUmz2wsOw3M6KI+ETI7ASpVtIp0U3XLyZpi9s4xT1H7YHkLdkTCnF8rM9xN2yjbRKSsfF24cFLd5YtlsA6OrLecfykU9xNIDVv8MGgIJwtNVmq6Io8NQSa/Z6T0EjqPjqINKLlr7XvDUipzhfJyY9iqPHNKep923CXsX7NySuplgFXTJzJ/T8wDzBHJ/yoRFrLTwfD90uN2cOvIm9efGiRS1tG45eTtlxRXHSRCB0DF8xqQiheUk09JLuy/sOtYwi+FisQ/lMjKwjfnz6BOCJWOg54FE4KST7iDsxcOh2xJSirgdzknI9fjsBALHUcYp2sofpNERp9tCjjoGKTA7iaQj5lDsePwWOJXrRVFOPil4pOvC6ckhUh4q7ewJND3TXP2Fc4/iiOdtanWHcc2wJvfiw/CZOjBeSZwZX5dcBd1y8uay9M6ZcVLsZyyE5xR0YnTTC20LARgX71mmzIxxTewHnSAsnUZ6NYAIyI+bG8KbPftWwhcT9EgiwBXXzeWkO1kO61XyNLLIrPwpDishHg8d8TxTIoB1PGErPLPlnEiGHU/S4ZugpXXh9HgeKOU8JsILFkWYeVKRT+jAM3VIceDRsq2gW07eieLAjcw4KfYzxQkvWX8mCMsowHpzUBBIEJ5cxTIoSvZODyYV4ezTnA3fxyq1cNFKKQeb4rASSrFDELIFYZJOpBNgahBeutyBGul/GfMAX9YP83HeiHRK+GwCEQSTW7b5ZZJQJk2mREBxIzNOiv1MccLjMnMNxgnCUsCql4OHQILw9GsJWYVclPBc5TSv6bI9ipRl9lUcVkRMdhKBv++GZJn8eRE8zI4XZsTppBBUBV3K5R/KI/5H886QNxpeEFoUSJdekbItrVuaTELNxGVmnBTC4zixnnPaM74fw6WnQ5qMsW+rE4JlAly9MUgIyDUqZkgTL47GC6SH9kClxn4xrysANNxKMG/lXtQJsJNJH1708I2mwSE4rWCJOD+WZ261Z63SjDi4so4kM3wVXVjuiGxQD4uHEsUh9ebraN7sPEOCFuUZOvBoOpwJl0fBsi2rW2beLENwzozD8ob2071fC3DBfDU30MLyyMqnKuElVnyivHlrQyBz2v0uHAk7yZI3gFD/DgcCCcKT3wsaDggCLbmS2Epfp7rdD4d5n9BBNKOrNLG0Wr542u4twv40uW8N2XOeoeM1oqU5rEDu7l8mI+Rn98nZfXiB7EGcaPaRbHhoFFjwnjYbt6IuntzdIWD0oBg3m35EHnsrJW8pL+/18somTDwlHZtPmbIVPWhTJnm65eVthRAXmXHS7cdhznsfu3jzHsoJIDzUrfjeU793x9o6md1UQaqdZOLCKep5mBBIEB6UP+ywRYS3rgzt0X3biecUzabhyIbslEplK6Z1cMnN53axZ0oaHfzTHVZa+ZhP/ViS65B0gmRFZJY19PsiSOLS36co3gYzBl2icps3xASbChPSdG9k5N1u+g0Q9OJb3JsJFc9IBzkxXrUiZcuigSTDMonplpN3VPXMOFn206aWhwsPuafEycqnYg/PzNEFq6CBq60bEYUL20mWvJF09dbgI3D44Uto9+79RlEzpIkruVdh8CEYBw156CV0pN2suMfhJuTHQQZNcnwQ0LIdH1w1VUVgAhCQ74q2hCc/oTABMgxeFtzajRKemzuKPh48NAZLIy3bwSpP1WaoEIgS3t69BwmfCdKjKgLdISEzD9id5+p+U88Ok4bzI1Wz0ngTjICW7QQDrtkpAj1DIEp4SF3uV+hZbsOUEL+d35u3wUR754XUBWelhgmx/tFVy7Z/ykolVQS6CIQdOTukief4hAI2oeuhCCgCioAioAj0OwLhljuP8LCSBUs4h3q1Zr+XsMqvCCgCioAiYBCYP/8BWrToUYuGR3i4GwawIfVCEVAEFAFFQBHoIwRmzlxJo6OvWokThKe9PIuNXigCioAioAj0KQIgOhCePBKEh4cjI5vMTwbUa0VAEVAEFAFFoF8QwOsyMYcnjyjhIYCu2JQw6bUioAgoAopAvyAQ691B9lTCw9AmuoP8SpZ+UVTlVAQUAUVAERheBLDoEtyFd0SHRyrhISBYEj097GXQQxFQBBQBRUARmOoIzJ27gfDmsNiRSXiIoKQXg03vKQKKgCKgCEw1BLAFATsN0o5cwkNEkN7RRy+nDRueTUtH7ysCioAioAgoApOGwEUXPUTo3WUdhQgPCWAuD19UQII6r5cFqT5TBBQBRUARmCgEMOWGFZkLFmzJzbIw4XFKGBvF94VOP31d6R7fxo0vUJnfMLzxBXigG46tIGihYM6Uf/hGIV58ijPfk2fePoKlt0hHGyJspXpWBBSBQUcA/ACSw9vBwu0HabqXJjxOaNWqHabHh6FOvH8T/3ft2mce48yfG4KDxlcY4Lilsy5yzQ4fcUGyHAdky86eCbQfFtZg1RBwwRjz7Nm3WkzwH/qg8FgfnJnwcZb3+ZoxQOsG2AAjYIUywX+UC8IwIcZWLXF5jscZBMyy4gzdWWY+oyy5XMfzzFhwvnxGY0PKyNcTjdV44N+rNKX9oZ4zdvIMGw7LDw04GSa8ZrtkzOWZbb9XOpRNBz5MylPkevPml8tmo+ErIACcYUsgOthYGd9fmfBYTjgGvHQajgsCwOHizCtlYChlBOJ0w7N0nrLScSVjUpXEyBUM4SEH5iIn6oDOmPOEDJAR5A0iAi5wsuNZOVAm0BflgvyZEJE/yofLiLFLIwPGL+vMaSMtLAXm9HGWZYHn0D1Mi8umiEMZSxjGIsw/5qghq8RK6oRr2Bpj16szcAxlQwMh1LkXdQl1QNYntlPkjzJinVhvOcIgG5tS3ljDAQ04GSa8lrbDefJZNnZjcnA4nNNkkvlJvWRc9lmcB59xX4Yrcs2NWE4j7RzWi1jaUvas67QGYwy/NHnK3ucGdUxu3CtSHmk6penDeUFW4Iz4VUa0xkx4E0UgRfORFZlBZRClQwZoDGLoiOEcQ0cT+y+JF3lxBYaxwSlizhP3EXeyW6whfrIFm0YGjF/WWbbSJ7JBEeozkf9BOjF7GMs94BjiHHPS3LAr66TC8NLpsp0if0myE4lpkbxkT1NiHdbDEMdQLxmXR6WK5N+rMNJHSVnkdUyH2L20BuN4+htuUEt55XWR8ojpgntp+nD6Yy2DgSO8ooCgh8UghkNt6PEwGWadw5YMO//xNLai+mk4RUARUAQUAR+BoSU8Hwb9pwgoAoqAIjDoCPw/IB3c33CeI4wAAAAASUVORK5CYII= 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. a={1:10:1}; b={1:10:1}; offset={1:10:1}; b)?a:b; smaller=(aa,["negative","positive"]); Difference=abs(a-b); Sum=A+B;]]> abc 0 1 100 1 A+B 1 1 {A} + {B} = {_0}

]]> L21- Adding Signed Numbers (4 in one) Calculate:]]> 4.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. a={1:10:1}; b={1:10:1}; Sa={-1,1}; Sb={-1,1}; num1=shuffle([1,2,3,4,5,6,7,8,9,10,10,1,2,3,4,5,6,7,8,9,10]); num2=shuffle([1,2,3,4,5,6,7,8,9,10,10,1,2,3,4,5,6,7,8,9,10]); signA=shuffle([-1,-1,-1,-1,-1,-1,-1,1,1,-1]); signB=shuffle([-1,-1,-1,-1,-1,1,-1,1,-1,-1]); abc 0 1 100 1 0,["negative","positive"]); SignB=pick(Sb>0,["negative","positive"]); SameSigns = pick(Sa==Sb,["different","the same"]); Action=pick(Sa==Sb,["Take the difference.
Use the sign of the larger number.","Add the numbers
Keep the sign."]); Work=pick(Sa==Sb,[join("","The difference of ",a," and ",b," is ",abs(a-b)),join("","The sum of ",a," and ",b," is ",a+b)]); SignAns=pick(A+B>0,"The answer is negative","The answer is Positive");]]> A+B 1 1 {A} + {B} = {_0}]]>

{A} is a {SignA} number.
{B} is a {SignB} number.
The sign of {a} and {b} are {SameSigns}. 

{Action}

{Work}

{SignAns}


]]> 1 1 0 1 0,["negative","positive"]); SignB=pick(Sb>0,["negative","positive"]); SameSigns = pick(Sa==Sb,["different","the same"]); Action=pick(Sa==Sb,["Take the difference.
Use the sign of the larger number.","Add the numbers
Keep the sign."]); Work=pick(Sa==Sb,[join("","The difference of ",a," and ",b," is ",abs(a-b)),join("","The sum of ",a," and ",b," is ",a+b)]); SignAns=pick(A+B>0,"The answer is negative","The answer is Positive");]]> A+B _err == 0 1 1 {A} + {B} = {_0}]]> {A} is a {SignA} number.
{B} is a {SignB} number.
The sign of {a} and {b} are {SameSigns}. 

{Action}

{Work}

{SignAns}

]]> 2 1 0 1 0,["negative","positive"]); SignB=pick(Sb>0,["negative","positive"]); SameSigns = pick(Sa==Sb,["different","the same"]); Action=pick(Sa==Sb,["Take the difference.
Use the sign of the larger number.","Add the numbers
Keep the sign."]); Work=pick(Sa==Sb,[join("","The difference of ",a," and ",b," is ",abs(a-b)),join("","The sum of ",a," and ",b," is ",a+b)]); SignAns=pick(A+B>0,"The answer is negative","The answer is Positive");]]> A+B _err == 0 1 1 {A} + {B} = {_0}]]> {A} is a {SignA} number.
{B} is a {SignB} number.
The sign of {a} and {b} are {SameSigns}. 

{Action}

{Work}

{SignAns}

]]> 3 1 0 1 0,["negative","positive"]); SignB=pick(Sb>0,["negative","positive"]); SameSigns = pick(Sa==Sb,["different","the same"]); Action=pick(Sa==Sb,["Take the difference.
Use the sign of the larger number.","Add the numbers
Keep the sign."]); Work=pick(Sa==Sb,[join("","The difference of ",a," and ",b," is ",abs(a-b)),join("","The sum of ",a," and ",b," is ",a+b)]); SignAns=pick(A+B>0,"The answer is negative","The answer is Positive");]]> A+B _err == 0 1 1 {A} + {B} = {_0}]]> {A} is a {SignA} number.
{B} is a {SignB} number.
The sign of {a} and {b} are {SameSigns}. 

{Action}

{Work}

{SignAns}

]]> L21- Adding Signed Numbers (Random) Calculate:

]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. a={1:10:1}; b={1:10:1}; Sa={-1,1}; Sb={-1,1}; 0,["negative","positive"]); SignB=pick(Sb>0,["negative","positive"]); SameSigns = pick(Sa==Sb,["different","the same"]); Action=pick(Sa==Sb,["Take the difference.
Use the sign of the larger number.","Add the numbers
Keep the sign."]); Work=pick(Sa==Sb,[join("","The difference of ",a," and ",b," is ",abs(a-b)),join("","The sum of ",a," and ",b," is ",a+b)]); SignAns=pick(A+B>0,"The answer is negative","The answer is Positive");]]> abc 0 1 100 1 A+B 1 1 {A} + {B} = {_0}]]>

{A} is a {SignA} number.
{B} is a {SignB} number.
The sign of {a} and {b} are {SameSigns}. 

{Action}

{Work}

{SignAns}


]]> $course$/top/Default for MSII/Test #3/L21- Integers, Absolute Value and Adding Integers/L21- integer expressions L21 - negative integer expressions Write an integer for the following situation (do not use units or $ signs):

{num} {=situation[randSit]} 

]]>

{num} {=situation[randSit]}

{=FB[randSit]}

   

The integer is -{num}

]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. abc 0 1 10 1 ans _err == 0 1 1 {_0}]]> L21 - person owes amount Write an integer for the following situation:

{name} {situation} ${num}.

]]>

{name} {situation} ${num}.

   

The integer is -{num}

]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. below normal"),join("","The integer ",ans,"represents above normal"));]]> abc 0 1 10 1 ans _err == 0 1 1 ${_0}]]> L21 - positive integer expressions Write an integer for the following situation (do not use units or $ signs):

{num} {situation} 

]]>

{num} {situation}

   

The integer is +{num}, or {num}

]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. below normal"),join("","The integer ",ans,"represents above normal"));]]> abc 0 1 10 1 ans _err == 0 1 1 {_0}]]> L21- neg 35 degrees thermometer

What temperature is 

shown on 

the thermometer?

{#A}

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 The temperature is -35 degrees.]]> 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 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. choices=[-45,-35,25,35,45]; ans=1; none 0 #A 1 0 1 ans _err == 0 1 1 {_0:choices:MCE}]]> L21- thermometer-70 degrees thermometer

What temperature is 

shown on 

the thermometer?

{#A}

]]> 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 The temperature is 70 degrees.]]> 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 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. choices=[-70,-50,0,50,70]; ans=4; none 0 #A 1 0 1 ans _err == 0 1 1 {_0:choices:MCE}]]> L21- thermometer-75 thermometer

What temperature is 

shown on 

the thermometer?

{#A}

]]> 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 The temperature is 75 degrees.]]> 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 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. choices=[-75,-55,5,55,75]; ans=4; none 0 #A 1 0 1 ans _err == 0 1 1 {_0:choices:MCE}]]> L21- thermometer-95 thermometer

What temperature is 

shown on 

the thermometer?

{#A}

]]> 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 The temperature is 95 degrees.]]> 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iVBORw0KGgoAAAANSUhEUgAAAGQAAABvCAYAAAAaJWWXAAAHhUlEQVR4Ae2d3UsVWxjG979w7iqwsP8gE7qJVCIyL+pA0E30qVRenrsg5ag3J+9SjCD8wBtPVBeaxokoMqFDQUEX6k7Li7wwUgpK8yO1N56X3s3a273ds8ZZa+9z5h3YzJo9a9aMz2+vj5n1+E6C/qfL169fyeXHlWwJVwUXulyXMFC2q0WBhKxJCsRSgVjVkPX1dZqfn6cvX75wO724uEg/fvxISYY0voMoyIO8OMbnEhsgELupqYkSiUTq09HRwcJjHz5dXV2pfch3+fJlmpub8wolNkDevHlDO3fupMnJSfr8+TM1NDSw+KOjo/T9+3d6/Pgxb1+7do0+fvxIQ0NDvN3W1sY1xlctiQ0Q1IDl5WUWH+mxsTEW/N69e7S0tES1tbVUU1NDb9++pdXVVVpbW6OKigqqrq6m9+/f87YPKLEBYooJIA8ePGAg4+PjDKqqqorOnDlDMzMzqSYKkPbs2UMTExMM0izDVTqWQFBTSkpKuFag+UJtqKysZCAfPnxIAWlpaaG9e/cqkAC/vtD3IegvTp06ReXl5TQ1NcXNE0ZSm9UQ9Ds4Dstf/0zTb3/86+wTqxqysrLCMHbs2EHJZJL7DoEvfYhAkj7k7NmzZNYaye9qHRsg6KgPHDhAZWVl9Pr1a5qdnU3da0D83t5e7lNu3brF+2SUdefOHVpYWHCl/4ZyYwNEhrXmfQjSR48epU+fPnE/knmf0t7ezkNkDAJ8LbEBAlHNu3DcicvdOGoIFvQl3759Sz1tRVrv1IP9FEN36sGKL1yu2NSQwklsd2YFYqeX89wKxLnEdidQIHZ6Oc+tQJxLbHcCBWKnl/PcCsS5xER/Jv+mRP/vgT4KxAMQm1MoEBu1PORVIB5EtjmFArFRy0NeBeJBZJtTxA6IPNGF50qe8opgmU+E1ZclyuRfWz/thdiYhr158yZPRMFhgkkqebyO/erLyi98rhzWQDBjuGvXLjp27BidOHGC7T3m1KxMYKkvK5fkm39vDURqCNro06dPbwAic+rqy9pc+Fx7rYFIQWii4L+CAU5qCL7bzHWivixRL/c6ciDqy8otdpA9kQPZrIaoLys/kkiB4HTSh6gvK7/42XJYA5FOHU6TkydP0uHDh9m5iG31ZWWT2O47ayAy7M3ly0LHrr4sOwhmbmsgUkPkP6jUl2XKufW0NZCtn9JPCbF7luVH1vBnUSDhtXNypAJxImv4QhVIeO2cHKlAnMgavlAFEl67wEeqDSiwVMWXUWtIkTFRIAokEgX0Tl3DM0XyQ8pbiDZZeSXym0GBGHrjibD5n7rqyzLEyZOMvA8BDAlII3Mm58+f13hZeUDI7siBICoQQFy5coXjZb18+ZK3EVcLzYivRZusX0o3Nzdz2A3TlwX/FsIzabys/D/HSGsIpm8RZAZeLTNeFiBt27ZNwzPl50GRA8k0z+Eauru7afv27WlAXIdnGk4kyOUngLahskQOZLMaYvqyQl2txUEuYaBsV0vkJUsfYvqy0IccOXIkZTl19ceY5SqQX2o8evSIR1UIHYt/U3j16hVv37hxw2u8LAXyCwjuQzo7OxmC3Ic0NjZ6j5elQIz2AqOtQsfLUiAGkGJIKpBioGBcgwIxxCiGpAIpBgrGNSgQQ4xiSCqQYqBgXIMCMcRwlbTxZSkQVxRClqtAQgrn6jAF4krZkOUqkJDCuTpMgbhSNmS5CiSkcK4Oix2Qvr4+fsReV1e3IV6W7JPH7z09PanwTa4AZJYbGyCY79i9ezedO3eOQzRlxssaGRlhUNevX6f79+9Ta2srb+PFLngs72uJDRAEDpienqbh4eGs8bIuXLhAx48fJ8wc4j2GeKHkvn37+IUvPn1ZsQGCGoKIchA3W7ysgwcPcu0ptC8rNkCkyUHzk2n5wXfZogHB+OD7PYYKZH2d+4hs8bLQ8We+x1B9WfLTTl+HtgHlqiHZfFloxlCb1JeVLn62rUiB4AQSkRSdPgYAT58+5VEWophKKMBsFxL1d7FpsmTYK/cYskbgMsTLwv+F1NfXMwTZBxjPnj1TX1aAX511DZFh78OHD2lgYIBu377Na4SHlfcY4r242Ma9B+5Fnjx5or6sADCQxRqIDHuLPV5WbJqsgKALnk2BFBxB+gUokHQ9Cr6lQAqOIP0CFEi6HgXfUiAFR5B+AQokXQ8nW+rLciKrn0K1hvjROfBZFEhgqfxkVCB+dA58FgUSWCo/GRWIH50DnyVWQK5evZo23wGHCZ4Cy6K+LFHCfm39+P3du3dUWlpKmA8ZHBxkhwkmovDaCkBRX5Y9BPMIayArKyscRAbz45iIev78OdcWBC2DPUh9Waa89mlrIKgFy8vLLD7SEkoDITSWlpZIfVn2EMwjrIGYBwMImq9Lly4RIskBlPqyTIXs01sCguZp//79HGMRzRdMDurLsodgHhEayMWLF/mduOjcJRQTvFrqyzLltU+HAnLo0CGqqKjg/iOZTHLfIadWX5YoEW5tDQQGOPFbmWv5PxH1ZYUDIUdZA8FI6sWLF3T37l3q7+9n7xX8V+rLEkm3trYGgpGVGbW6WN9j+F99dPITHjmrK2A3p5sAAAAASUVORK5CYII= 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 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. choices=[-75,-95,5,95,75]; ans=3; none 0 #A 1 0 1 ans _err == 0 1 1 {_0:choices:MCE}]]> L21- thermometer-zero degrees thermometer

What temperature is 

shown on 

the thermometer?

{#A}

]]> 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 The temperature is 0 degrees.]]> iVBORw0KGgoAAAANSUhEUgAAAGwAAAB8CAYAAACMsFVWAAAIpUlEQVR4Ae2dyWsVSxTG8y+8XXQh/gkOIQsXigOiUeEhuHPjsBBcZWMSB4I4RHERCIiCRgXBBwoaJyIOMSg8cBHHSGJQ1BdxROIYZ498Rc6lutNpbtft6r79+Bout+t2d1X7/Tzd1V1fTtXI/3j58OGD+PzkIV1NJY3+/v1bRkdH5ePHj/Ljx49AVdj25csXI9j79+/NPj9//gzs47vgExbqzmNxBgZA58+fl5qaGpkxY4Y8e/ZMFAhgXbx40WzDdnxWr14tw8PDpX2y+McS2JjKv379krlz50p9fb00NjbKtGnT5MmTJyUYg4ODBlJzc7O8ePFC+vr6TLmpqUlGRkYEQLNYCMxSGRH26dMnaW1tlenTpweAbdu2Terq6qS/v1++fftmACHCsN/Q0NC4y6dVbaqrBBYh59atW8cBW7NmjSxevFgeP35cijpAnDRpkty9e9dAjKgq9Z8ILELSOGD2ZfLIkSMyefJkAovQMMlPzp0ObSQOWFSE3bt3rxRhbd3/yV+N/3r7MMKUkvUdBUzvYffv3w/cwxoaGuTp06ely6RVjZdVArNkRacDz1+bNm0yvcSBgQF59+6d6VD09PSYXmF7e7u8evWq1Evs6Ogwz2VWNV5XCWxMXu3W6zOWfqNn+PLlSxNBnZ2dBppua2lpkTdv3giOzWohMEtpjTC8xdCP/cZD34JANH3TkSUsnCqBWcCKsEpgRaBknSOBWWIUYZXAikDJOkcCs8QowiqBFYGSdY4EZomR12rrwD9S0/V3WR8Cy4uSY7sE5ihcXocRWF7KO7ZLYI7C5XUYgeWlvGO7BOYoXF6HEVgC5elLTCBWgl0rtghEtQVYsALoWBi+lyxZQl9ilFgJf/MCDNY2QIK1Db7Et2/flsr0JSYkFNrdCzB1SNm+RPgXa2tr6UsMAUha9AIMxhzYt23X1OHDh02U0ZeYFFFwf2/Awm7gS5cujQNGm1sQRjklb8AmijDbl1jOCVayD7v1ZaqHyx9cvrYvEfcwQKQvsUwRJ9jNS4TBo4he4saNG40vUXuJW7ZsoS9xAhDl/uwFGJ7DLly4YKDpsxj+QIK+xHKxTLyfF2Bojr7EiUWvZIs3YJWcVFrHstORlpIZ1UNgGQmdVjMElpaSGdVDYBkJnVYzBJaWkhnVQ2AZCR3XDH2JceoUfBsjrGAACYzAAn/VmYccfNNRQcY3AktZAV4SUxbUd3UEFlL42rVrZghlwYIF4xJ+6TYdXkGyFU3PF6rGW5HALGkXLlwo8+bNk/Xr14/Ll/jw4UMDcvv27dLd3S0HDhww5b1792YKjcDGgCHfBhKoIIqi8iXu3LlTZs2aZWCpL3HFihUyc+ZM5ku0/tO7rDr3EuPyJa5du1aWLVsWyJdIX6ILnvHHOAPTqqKSg0XlS4Qxh/kSVTX3b6/A7HyJ6HSE8yXSl5gcnBdgUc5fXCaXLl1q/kgC3vssFnY6IlSOuiRqRu2jR4+afInaa9y9ezd9iREaJvnJOcLQrddnLP2eP3++eR5DvvodO3YEtu/atUuuXr1KX2ISOhH7OgHTbj388mfOnJHjx49LV1eXoKz5EpHs8vr16ya3/dmzZ41Pkb7ECAIJf3IChjaYL7FgM0Mk/I+Ry+7sdOQiu3ujBOauXS5HElgusrs3SmDu2uVyJIHlIrt7owTmrl1qR9KXmJqU1VcRI6z6mMSeEYHFylN9Gwms+pjEnhGBxcpTfRsJrPqYxJ4RgVnyHDt2LDDehYRg9uxF9CVaYqW46jS8gpQOGLTs7e01410bNmww5Vu3bpl0DzrCTF9iiqTGqnIChrEwZGpDxhtkucGgJQAePHhQvn79KvQlpg9Ka3QChgj7/v27+WBdUxWdOHHCTHVPX6LKm/63E7DwacBbv3z5crl586aJMPoSwwqlV64YWFtbm0yZMsV4Np4/f2688wosT19iL+6xHj/ogeaxVAQMTijcu2Brw2UR9y8s1eBL9AkLdRcO2Lp162Tq1Kly+fJluX37tnz+/Nn0EAGsGnyJBGbF/9DQkIks9SPqt/6dWDX4EgnMAgar9Z07d+TkyZNy6tQpge/w3LlzVeVLJDALGLryiCJcx3UOZ52rGc9oWLDP6OhoaR/M8Wy/CbGq87JKYF5k9VcpgfnT1kvNBOZFVn+VEpg/bb3UTGBeZPVXKYH509ZLzQTmRdbklZbrSySw5NrmegSB5Sp/8sYJLLlmuR5BYLnKn7xxAkuuWa5HEFhIfrzIxRiYvgAOv9wNvyDG9izT7xGYBQwwDh06FBgTW7VqlXFQYRs+OoipY2WYcXZ4eDgzaARmAcMQCkCozW3//v2mfPr0aWMTGBwcNOXm5mYzLXBfX58pNzU1ZZZ+j8AsYIgg2+aGsTEA3LdvnxkDQyKwurq6QPo9RBgmMsVotY6ZWVWmvkpgIUkBTQcoN2/ebFLrAQZAqmvKnhYYELNMv0dgIWA9PT0mqvQedePGDXn9+vWENjedjDureZwJLATMjjC9R+Gyh15jXITZ0wL7zJdIYBYwwMJ9S+9F6K6vXLlSFi1aZKJM72H2tMCA2dDQkFn6PQKzgF25csUkYcY9amRkxHTncWnUCMN2lNvb2820wBqBHR0dJgKtqrytEpglLSJrzpw5gXsYLoO4h+GBGhHY2dkZ2N7S0pLptMAEZgHDKqDh7YXa3KLedGgvUi1wtLmFRHQoVuStd2gvs0MYYZlJnU5DBJaOjpnVQmCZSZ1OQwSWjo6Z1UJgmUmdTkMElo6OmdVCYJlJHd8QfYnx+hR2KyOsYOgIjMACaSQKl0Wg2vkxwqqdUOj8CCwkiBZ1MBNv6+HnQBmL/m77FulLVNXcvyt+W9/f32/GvWCwefTokRl2ASz6Et2hxB1ZETCMic2ePdtM91tbWysPHjwwUUZfYpzklW1zBoYowqhyfX297Nmzx1jYFJh6OhB9SMKCfelLrAyUHv0HdeZrV5YcWd4AAAAASUVORK5CYII= iVBORw0KGgoAAAANSUhEUgAAAGQAAABvCAYAAAAaJWWXAAAHhUlEQVR4Ae2d3UsVWxjG979w7iqwsP8gE7qJVCIyL+pA0E30qVRenrsg5ag3J+9SjCD8wBtPVBeaxokoMqFDQUEX6k7Li7wwUgpK8yO1N56X3s3a273ds8ZZa+9z5h3YzJo9a9aMz2+vj5n1+E6C/qfL169fyeXHlWwJVwUXulyXMFC2q0WBhKxJCsRSgVjVkPX1dZqfn6cvX75wO724uEg/fvxISYY0voMoyIO8OMbnEhsgELupqYkSiUTq09HRwcJjHz5dXV2pfch3+fJlmpub8wolNkDevHlDO3fupMnJSfr8+TM1NDSw+KOjo/T9+3d6/Pgxb1+7do0+fvxIQ0NDvN3W1sY1xlctiQ0Q1IDl5WUWH+mxsTEW/N69e7S0tES1tbVUU1NDb9++pdXVVVpbW6OKigqqrq6m9+/f87YPKLEBYooJIA8ePGAg4+PjDKqqqorOnDlDMzMzqSYKkPbs2UMTExMM0izDVTqWQFBTSkpKuFag+UJtqKysZCAfPnxIAWlpaaG9e/cqkAC/vtD3IegvTp06ReXl5TQ1NcXNE0ZSm9UQ9Ds4Dstf/0zTb3/86+wTqxqysrLCMHbs2EHJZJL7DoEvfYhAkj7k7NmzZNYaye9qHRsg6KgPHDhAZWVl9Pr1a5qdnU3da0D83t5e7lNu3brF+2SUdefOHVpYWHCl/4ZyYwNEhrXmfQjSR48epU+fPnE/knmf0t7ezkNkDAJ8LbEBAlHNu3DcicvdOGoIFvQl3759Sz1tRVrv1IP9FEN36sGKL1yu2NSQwklsd2YFYqeX89wKxLnEdidQIHZ6Oc+tQJxLbHcCBWKnl/PcCsS5xER/Jv+mRP/vgT4KxAMQm1MoEBu1PORVIB5EtjmFArFRy0NeBeJBZJtTxA6IPNGF50qe8opgmU+E1ZclyuRfWz/thdiYhr158yZPRMFhgkkqebyO/erLyi98rhzWQDBjuGvXLjp27BidOHGC7T3m1KxMYKkvK5fkm39vDURqCNro06dPbwAic+rqy9pc+Fx7rYFIQWii4L+CAU5qCL7bzHWivixRL/c6ciDqy8otdpA9kQPZrIaoLys/kkiB4HTSh6gvK7/42XJYA5FOHU6TkydP0uHDh9m5iG31ZWWT2O47ayAy7M3ly0LHrr4sOwhmbmsgUkPkP6jUl2XKufW0NZCtn9JPCbF7luVH1vBnUSDhtXNypAJxImv4QhVIeO2cHKlAnMgavlAFEl67wEeqDSiwVMWXUWtIkTFRIAokEgX0Tl3DM0XyQ8pbiDZZeSXym0GBGHrjibD5n7rqyzLEyZOMvA8BDAlII3Mm58+f13hZeUDI7siBICoQQFy5coXjZb18+ZK3EVcLzYivRZusX0o3Nzdz2A3TlwX/FsIzabys/D/HSGsIpm8RZAZeLTNeFiBt27ZNwzPl50GRA8k0z+Eauru7afv27WlAXIdnGk4kyOUngLahskQOZLMaYvqyQl2txUEuYaBsV0vkJUsfYvqy0IccOXIkZTl19ceY5SqQX2o8evSIR1UIHYt/U3j16hVv37hxw2u8LAXyCwjuQzo7OxmC3Ic0NjZ6j5elQIz2AqOtQsfLUiAGkGJIKpBioGBcgwIxxCiGpAIpBgrGNSgQQ4xiSCqQYqBgXIMCMcRwlbTxZSkQVxRClqtAQgrn6jAF4krZkOUqkJDCuTpMgbhSNmS5CiSkcK4Oix2Qvr4+fsReV1e3IV6W7JPH7z09PanwTa4AZJYbGyCY79i9ezedO3eOQzRlxssaGRlhUNevX6f79+9Ta2srb+PFLngs72uJDRAEDpienqbh4eGs8bIuXLhAx48fJ8wc4j2GeKHkvn37+IUvPn1ZsQGCGoKIchA3W7ysgwcPcu0ptC8rNkCkyUHzk2n5wXfZogHB+OD7PYYKZH2d+4hs8bLQ8We+x1B9WfLTTl+HtgHlqiHZfFloxlCb1JeVLn62rUiB4AQSkRSdPgYAT58+5VEWophKKMBsFxL1d7FpsmTYK/cYskbgMsTLwv+F1NfXMwTZBxjPnj1TX1aAX511DZFh78OHD2lgYIBu377Na4SHlfcY4r242Ma9B+5Fnjx5or6sADCQxRqIDHuLPV5WbJqsgKALnk2BFBxB+gUokHQ9Cr6lQAqOIP0CFEi6HgXfUiAFR5B+AQokXQ8nW+rLciKrn0K1hvjROfBZFEhgqfxkVCB+dA58FgUSWCo/GRWIH50DnyVWQK5evZo23wGHCZ4Cy6K+LFHCfm39+P3du3dUWlpKmA8ZHBxkhwkmovDaCkBRX5Y9BPMIayArKyscRAbz45iIev78OdcWBC2DPUh9Waa89mlrIKgFy8vLLD7SEkoDITSWlpZIfVn2EMwjrIGYBwMImq9Lly4RIskBlPqyTIXs01sCguZp//79HGMRzRdMDurLsodgHhEayMWLF/mduOjcJRQTvFrqyzLltU+HAnLo0CGqqKjg/iOZTHLfIadWX5YoEW5tDQQGOPFbmWv5PxH1ZYUDIUdZA8FI6sWLF3T37l3q7+9n7xX8V+rLEkm3trYGgpGVGbW6WN9j+F99dPITHjmrK2A3p5sAAAAASUVORK5CYII= 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 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. choices=[-30,-20,0,20,30]; ans=2; none 0 #A 1 0 1 ans _err == 0 1 1 {_0:choices:MCE}]]> L21- Write an integer for each situation Write an integer for the following situation:

The {situation} for the month of {month} was ${num} {sign} normal.    

]]> {FB}]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. below normal"),join("","The integer ",ans," represents above normal"));]]> abc 0 1 10 1 ans _err == 0 1 1 L21-Num5 neg 20 degrees thermometer

What temperature is 

shown on 

the thermometer?

{#A}

]]> 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 The temperature is -20 degrees.]]> 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 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. choices=[-30,-20,0,20,30]; ans=1; none 0 #A 1 0 1 ans _err == 0 1 1 {_0:choices:MCE}]]> $course$/top/Default for MSII/Test #3/L21- Integers, Absolute Value and Adding Integers/L21-Absolute Value L21- Absolute Value three numbers Calculate: ]]> 3.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. nums=shuffle([-20,-19,-18,-17,-16,-15,-14,-13,-12,-11,-10,-9,-8,-7,-4,-5,-6,-1,-2,-3,0,1,2,3,4,5,12,13,14,15,16,20]); A=nums[0]; B=nums[1]; C=nums[2]; ansA=abs(A); ansB=abs(B); ansC=abs(C); abc 0 1 0 1 ansA 1 1 |{A}| = {_0}]]>

|{A}|  means what is the absolute value of {A}?

How far is {A} from zero?   {A} is {ansA} from zero.



]]> 1 1 0 1 ansB 1 1

|{B}| = {_0}

]]>

|{B}|  means what is the absolute value of {B}?

How far is {B} from zero?   {B} is {ansB} from zero.


]]> 2 1 0 1 ansC 1 1 |{C}| = {_0}]]>

|{C}|  means what is the absolute value of {C}?

How far is {C} from zero?   {C} is {ansC} from zero.


]]> L21- Number line - absolute value each point What is the absolute value of each point? var board = JXG.JSXGraph.initBoard(BOARDID,{ axis:false,grid:false, boundingbox: [-15,1,15,-1], showCopyright: false, showNavigation: false }); varL1=board.create('line',[[-14,0],[14,0]],{straightFirst:true, straightLast:true,firstArrow:true,lastArrow:true,strokeWidth:2,fixed:true,strokeColor:'#000000'}); var tickN13=board.create('line',[[-13,-.1],[-13,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickN13tx = board.create('text',[-13,-.15,"-13"],{anchorY:'top',anchorX:'middle'}); var tickN12=board.create('line',[[-12,-.1],[-12,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickN12tx = board.create('text',[-12,-.15,"-12"],{anchorY:'top',anchorX:'middle'}); var tickN11=board.create('line',[[-11,-.1],[-11,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickN11tx = board.create('text',[-11,-.15,"-11"],{anchorY:'top',anchorX:'middle'}); var tickN10=board.create('line',[[-10,-.1],[-10,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickN10tx = board.create('text',[-10,-.15,"-10"],{anchorY:'top',anchorX:'middle'}); var tickN9=board.create('line',[[-9,-.1],[-9,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickN9tx = board.create('text',[-9,-.15,"-9"],{anchorY:'top',anchorX:'middle'}); var tickN8=board.create('line',[[-8,-.1],[-8,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickN8tx = board.create('text',[-8,-.15,"-8"],{anchorY:'top',anchorX:'middle'}); var tickN7=board.create('line',[[-7,-.1],[-7,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickN7tx = board.create('text',[-7,-.15,"-7"],{anchorY:'top',anchorX:'middle'}); var tickN6=board.create('line',[[-6,-.1],[-6,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickN6tx = board.create('text',[-6,-.15,"-6"],{anchorY:'top',anchorX:'middle'}); var tickN5=board.create('line',[[-5,-.1],[-5,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickN5tx = board.create('text',[-5,-.15,"-5"],{anchorY:'top',anchorX:'middle'}); var tickN4=board.create('line',[[-4,-.1],[-4,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickN4tx = board.create('text',[-4,-.15,"-4"],{anchorY:'top',anchorX:'middle'}); var tickN3=board.create('line',[[-3,-.1],[-3,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickN3tx = board.create('text',[-3,-.15,"-3"],{anchorY:'top',anchorX:'middle'}); var tickN2=board.create('line',[[-2,-.1],[-2,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickN2tx = board.create('text',[-2,-.15,"-2"],{anchorY:'top',anchorX:'middle'}); var tickN1=board.create('line',[[-1,-.1],[-1,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickN1tx = board.create('text',[-1,-.15,"-1"],{anchorY:'top',anchorX:'middle'}); var tickN0=board.create('line',[[0,-.1],[0,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickN0tx = board.create('text',[0,-.15,"0"],{anchorY:'top',anchorX:'middle'}); varL1=board.create('line',[[14,0],[14,0]],{straightFirst:true, straightLast:true,firstArrow:true,lastArrow:true,strokeWidth:2,fixed:true,strokeColor:'#000000'}); var tickP13=board.create('line',[[13,-.1],[13,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickP13tx = board.create('text',[13,-.15,"13"],{anchorY:'top',anchorX:'middle'}); var tickP12=board.create('line',[[12,-.1],[12,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickP12tx = board.create('text',[12,-.15,"12"],{anchorY:'top',anchorX:'middle'}); var tickP11=board.create('line',[[11,-.1],[11,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickP11tx = board.create('text',[11,-.15,"11"],{anchorY:'top',anchorX:'middle'}); var tickP10=board.create('line',[[10,-.1],[10,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickP10tx = board.create('text',[10,-.15,"10"],{anchorY:'top',anchorX:'middle'}); var tickP9=board.create('line',[[9,-.1],[9,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickP9tx = board.create('text',[9,-.15,"9"],{anchorY:'top',anchorX:'middle'}); var tickP8=board.create('line',[[8,-.1],[8,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickP8tx = board.create('text',[8,-.15,"8"],{anchorY:'top',anchorX:'middle'}); var tickP7=board.create('line',[[7,-.1],[7,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickP7tx = board.create('text',[7,-.15,"7"],{anchorY:'top',anchorX:'middle'}); var tickP6=board.create('line',[[6,-.1],[6,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickP6tx = board.create('text',[6,-.15,"6"],{anchorY:'top',anchorX:'middle'}); var tickP5=board.create('line',[[5,-.1],[5,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickP5tx = board.create('text',[5,-.15,"5"],{anchorY:'top',anchorX:'middle'}); var tickP4=board.create('line',[[4,-.1],[4,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickP4tx = board.create('text',[4,-.15,"4"],{anchorY:'top',anchorX:'middle'}); var tickP3=board.create('line',[[3,-.1],[3,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickP3tx = board.create('text',[3,-.15,"3"],{anchorY:'top',anchorX:'middle'}); var tickP2=board.create('line',[[2,-.1],[2,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickP2tx = board.create('text',[2,-.15,"2"],{anchorY:'top',anchorX:'middle'}); var tickP1=board.create('line',[[1,-.1],[1,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickP1tx = board.create('text',[1,-.15,"1"],{anchorY:'top',anchorX:'middle'}); var p1=board.create('point',[{p1},0],{name:'',showInfobox:false}); var p1t = board.create('text',[{p1},.15,"A"],{anchorX:'middle',anchorY:'bottom'}); var p2=board.create('point',[{p2},0],{name:'',showInfobox:false}); var p2t = board.create('text',[{p2},.15,"B"],{anchorX:'middle',anchorY:'bottom'}); var p3=board.create('point',[{p3},0],{name:'',showInfobox:false}); var p3t = board.create('text',[{p3},.15,"C"],{anchorX:'middle',anchorY:'bottom'}); var p4=board.create('point',[{p4},0],{name:'',showInfobox:false}); var p4t = board.create('text',[{p4},.15,"D"],{anchorX:'middle',anchorY:'bottom'}); ]]> 4.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. points=shuffle([-13,-12,-11,-10,-9,-8,-7,-6,-5,-4,-3,-2,-1,0,1,2,3,4,5,6,7,8,9,10,11,12,13]); p1=points[0]; p2=points[1]; p3=points[2]; p4=points[3]; abc 0 1 0 1 abs(p1) _err == 0 1 1 |A|={_0}]]> Point A  is at {p1}.   

It is {=abs(p1)} from zero.

]]> 1 1 0 1 abs(p2) _err == 0 1 1 |B|={_0}]]>

Point B  is at {p2}.   

It is {=abs(p2)} from zero.


]]> 2 1 0 1 abs(p3) _err == 0 1 1 |C|={_0}]]>

Point C  is at {p3}.   

It is {=abs(p3)} from zero.


]]> 3 1 0 1 abs(p4) _err == 0 1 1 |D|={_0}]]>

Point D  is at {p4}.   

It is {=abs(p4)} from zero.


]]> L21- Number line - how far points from zero How far is each point from zero? var board = JXG.JSXGraph.initBoard(BOARDID,{ axis:false,grid:false, boundingbox: [-15,1,15,-1], showCopyright: false, showNavigation: false }); varL1=board.create('line',[[-14,0],[14,0]],{straightFirst:true, straightLast:true,firstArrow:true,lastArrow:true,strokeWidth:2,fixed:true,strokeColor:'#000000'}); var tickN13=board.create('line',[[-13,-.1],[-13,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickN13tx = board.create('text',[-13,-.15,"-13"],{anchorY:'top',anchorX:'middle'}); var tickN12=board.create('line',[[-12,-.1],[-12,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickN12tx = board.create('text',[-12,-.15,"-12"],{anchorY:'top',anchorX:'middle'}); var tickN11=board.create('line',[[-11,-.1],[-11,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickN11tx = board.create('text',[-11,-.15,"-11"],{anchorY:'top',anchorX:'middle'}); var tickN10=board.create('line',[[-10,-.1],[-10,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickN10tx = board.create('text',[-10,-.15,"-10"],{anchorY:'top',anchorX:'middle'}); var tickN9=board.create('line',[[-9,-.1],[-9,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickN9tx = board.create('text',[-9,-.15,"-9"],{anchorY:'top',anchorX:'middle'}); var tickN8=board.create('line',[[-8,-.1],[-8,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickN8tx = board.create('text',[-8,-.15,"-8"],{anchorY:'top',anchorX:'middle'}); var tickN7=board.create('line',[[-7,-.1],[-7,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickN7tx = board.create('text',[-7,-.15,"-7"],{anchorY:'top',anchorX:'middle'}); var tickN6=board.create('line',[[-6,-.1],[-6,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickN6tx = board.create('text',[-6,-.15,"-6"],{anchorY:'top',anchorX:'middle'}); var tickN5=board.create('line',[[-5,-.1],[-5,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickN5tx = board.create('text',[-5,-.15,"-5"],{anchorY:'top',anchorX:'middle'}); var tickN4=board.create('line',[[-4,-.1],[-4,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickN4tx = board.create('text',[-4,-.15,"-4"],{anchorY:'top',anchorX:'middle'}); var tickN3=board.create('line',[[-3,-.1],[-3,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickN3tx = board.create('text',[-3,-.15,"-3"],{anchorY:'top',anchorX:'middle'}); var tickN2=board.create('line',[[-2,-.1],[-2,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickN2tx = board.create('text',[-2,-.15,"-2"],{anchorY:'top',anchorX:'middle'}); var tickN1=board.create('line',[[-1,-.1],[-1,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickN1tx = board.create('text',[-1,-.15,"-1"],{anchorY:'top',anchorX:'middle'}); var tickN0=board.create('line',[[0,-.1],[0,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickN0tx = board.create('text',[0,-.15,"0"],{anchorY:'top',anchorX:'middle'}); varL1=board.create('line',[[14,0],[14,0]],{straightFirst:true, straightLast:true,firstArrow:true,lastArrow:true,strokeWidth:2,fixed:true,strokeColor:'#000000'}); var tickP13=board.create('line',[[13,-.1],[13,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickP13tx = board.create('text',[13,-.15,"13"],{anchorY:'top',anchorX:'middle'}); var tickP12=board.create('line',[[12,-.1],[12,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickP12tx = board.create('text',[12,-.15,"12"],{anchorY:'top',anchorX:'middle'}); var tickP11=board.create('line',[[11,-.1],[11,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickP11tx = board.create('text',[11,-.15,"11"],{anchorY:'top',anchorX:'middle'}); var tickP10=board.create('line',[[10,-.1],[10,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickP10tx = board.create('text',[10,-.15,"10"],{anchorY:'top',anchorX:'middle'}); var tickP9=board.create('line',[[9,-.1],[9,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickP9tx = board.create('text',[9,-.15,"9"],{anchorY:'top',anchorX:'middle'}); var tickP8=board.create('line',[[8,-.1],[8,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickP8tx = board.create('text',[8,-.15,"8"],{anchorY:'top',anchorX:'middle'}); var tickP7=board.create('line',[[7,-.1],[7,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickP7tx = board.create('text',[7,-.15,"7"],{anchorY:'top',anchorX:'middle'}); var tickP6=board.create('line',[[6,-.1],[6,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickP6tx = board.create('text',[6,-.15,"6"],{anchorY:'top',anchorX:'middle'}); var tickP5=board.create('line',[[5,-.1],[5,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickP5tx = board.create('text',[5,-.15,"5"],{anchorY:'top',anchorX:'middle'}); var tickP4=board.create('line',[[4,-.1],[4,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickP4tx = board.create('text',[4,-.15,"4"],{anchorY:'top',anchorX:'middle'}); var tickP3=board.create('line',[[3,-.1],[3,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickP3tx = board.create('text',[3,-.15,"3"],{anchorY:'top',anchorX:'middle'}); var tickP2=board.create('line',[[2,-.1],[2,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickP2tx = board.create('text',[2,-.15,"2"],{anchorY:'top',anchorX:'middle'}); var tickP1=board.create('line',[[1,-.1],[1,.1]],{straightFirst:false, straightLast:false,strokeWidth:1,fixed:true,strokeColor:'#000000'}); var tickP1tx = board.create('text',[1,-.15,"1"],{anchorY:'top',anchorX:'middle'}); var p1=board.create('point',[{p1},0],{name:'',showInfobox:false}); var p1t = board.create('text',[{p1},.15,"A"],{anchorX:'middle',anchorY:'bottom'}); var p2=board.create('point',[{p2},0],{name:'',showInfobox:false}); var p2t = board.create('text',[{p2},.15,"B"],{anchorX:'middle',anchorY:'bottom'}); var p3=board.create('point',[{p3},0],{name:'',showInfobox:false}); var p3t = board.create('text',[{p3},.15,"C"],{anchorX:'middle',anchorY:'bottom'}); var p4=board.create('point',[{p4},0],{name:'',showInfobox:false}); var p4t = board.create('text',[{p4},.15,"D"],{anchorX:'middle',anchorY:'bottom'}); ]]> 4.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. points=shuffle([-13,-12,-11,-10,-9,-8,-7,-6,-5,-4,-3,-2,-1,0,1,2,3,4,5,6,7,8,9,10,11,12,13]); p1=points[0]; p2=points[1]; p3=points[2]; p4=points[3]; abc 0 1 0 1 abs(p1) _err == 0 1 1 A={_0}]]> Point A  is at {p1}.   

It is {=abs(p1)} from zero.

]]> 1 1 0 1 abs(p2) _err == 0 1 1 B={_0}]]>

Point B  is at {p2}.   

It is {=abs(p2)} from zero.


]]> 2 1 0 1 abs(p3) _err == 0 1 1 C={_0}]]>

Point C  is at {p3}.   

It is {=abs(p3)} from zero.


]]> 3 1 0 1 abs(p4) _err == 0 1 1 D={_0}]]>

Point D  is at {p4}.   

It is {=abs(p4)} from zero.


]]> L21-Absolute Value three numbers Calculate: ]]> 3.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. nums=shuffle([-20,-19,-18,-17,-16,-15,-14,-13,-12,-11,-10,-9,-8,-7,-4,-5,-6,-1,-2,-3,1,2,3,4,5,12,13,20]); A=nums[0]; B=nums[1]; C=nums[2]; ansA=abs(A); ansB=abs(B); ansC=abs(C); abc 0 1 0 1 ansA 1 1 |{A}| = {_0}]]>

|{A}|  means what is the absolute value of {A}?

How far is {A} from zero?   {A} is {ansA} from zero.



]]> 1 1 0 1 ansB 1 1

|{B}| = {_0}

]]>

|{B}|  means what is the absolute value of {B}?

How far is {B} from zero?   {B} is {ansB} from zero.


]]> 2 1 0 1 ansC 1 1 |{C}| = {_0}]]>

|{C}|  means what is the absolute value of {C}?

How far is {C} from zero?   {C} is {ansC} from zero.


]]> $course$/top/Default for MSII/Test #3/L23- Frequency Tables/L23- Students Grades L23- Frequency Table 24 students Grades The test scores for a class are:  {classGrades}.]]> 4.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. Grades=shuffle([64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100]); 0,join("",Grades[0]),pick(i==23,join("",classGrades,", ",grades[i]),join("",classGrades,", and ",Grades[23]))); F90=(Grades[i]>90)?F90+1:F90; G90=pick(Grades[i]>90,G90,pick(F90>1,join("",Grades[i]),join("",G90,", ",Grades[i]))); F80=((Grades[i]>80&&Grades[i]<91))?F80+1:F80; G80=pick((Grades[i]>80)&&(Grades[i]<91),G80,pick(F80>1,join("",Grades[i]),join("",G80,", ",Grades[i]))); F70=((Grades[i]>70&&Grades[i]<81))?F70+1:F70; G70=pick((Grades[i]>70)&&(Grades[i]<81),G70,pick(F70>1,join("",Grades[i]),join("",G70,", ",Grades[i]))); F60=(Grades[i]<71)?F60+1:F60; G60=pick((Grades[i]>60)&&(Grades[i]<71),G60,pick(F60>1,join("",Grades[i]),join("",G60,", ",Grades[i]))); } T1="I"; T2="II"; T3="III"; T4="IIII"; T5="IIII"; T6="IIII I"; T7="IIII II"; T8="IIII III"; T9="IIII IIII"; T10="IIII IIII"; T11="IIII IIII I"; T12="IIII IIII II"; T13="IIII IIII III"; T14="IIII IIII IIII"; T15="IIII IIII IIII"; tally=["",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15]; tally90=pick(F90,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally80=pick(F80,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally70=pick(F70,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally60=pick(F60,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15);]]> none 0 1 0 4 [F90,F80,F70,F60] _err == 0 1 1 Fill in the frequency table to determine the grade distribution:

   Grade   

   Tally   

   Frequency   

91-100

{tally90}

{_0}

81-90

{tally80}

{_1}

71-80

{tally70}

{_2}

61-70

{tally60}

{_3}
]]>

   Grade   

   Tally   

   Frequency   

91-100

{tally90}

{F90}

81-90

{tally80}

{F80}

71-80

{tally70}

{F70}

61-70

{tally60}

{F60}

The {F90} scores between 91-100: {G90}
The {F80} scores between 81-90: {G80}
The {F70} scores between 71-80: {G70}
The {F60} scores between 61-70: {G60}
]]> 1 1 0 1 F80 _err == 0 1 1 How many students have a grade between 81-90? {_0}]]>

{F80} students scored between 81 and 90.


]]> 2 1 0 1 F60 _err == 0 1 1

The teacher requires all students who scored a 70 or less to attend extra help.  How many students have a grade between 61-70? {_0}


]]> {F60} students scored between 61 and 70.]]> 3 1 0 1 students _err == 0 1 1 How many students are in the class? {_0}]]> There are {students} students in the class.]]> L23- Frequency Table 25 students Grades The test scores for a class are:  {classGrades}.]]> 4.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. Grades=shuffle([64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100]); 0,join("",Grades[0]),pick(i==24,join("",classGrades,", ",grades[i]),join("",classGrades,", and ",Grades[24]))); F90=(Grades[i]>90)?F90+1:F90; G90=pick(Grades[i]>90,G90,pick(F90>1,join("",Grades[i]),join("",G90,", ",Grades[i]))); F80=((Grades[i]>80&&Grades[i]<91))?F80+1:F80; G80=pick((Grades[i]>80)&&(Grades[i]<91),G80,pick(F80>1,join("",Grades[i]),join("",G80,", ",Grades[i]))); F70=((Grades[i]>70&&Grades[i]<81))?F70+1:F70; G70=pick((Grades[i]>70)&&(Grades[i]<81),G70,pick(F70>1,join("",Grades[i]),join("",G70,", ",Grades[i]))); F60=(Grades[i]<71)?F60+1:F60; G60=pick((Grades[i]>60)&&(Grades[i]<71),G60,pick(F60>1,join("",Grades[i]),join("",G60,", ",Grades[i]))); } T1="I"; T2="II"; T3="III"; T4="IIII"; T5="IIII"; T6="IIII I"; T7="IIII II"; T8="IIII III"; T9="IIII IIII"; T10="IIII IIII"; T11="IIII IIII I"; T12="IIII IIII II"; T13="IIII IIII III"; T14="IIII IIII IIII"; T15="IIII IIII IIII"; tally=["",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15]; tally90=pick(F90,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally80=pick(F80,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally70=pick(F70,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally60=pick(F60,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15);]]> none 0 1 0 4 [F90,F80,F70,F60] _err == 0 1 1 Fill in the frequency table to determine the grade distribution:

   Grade   

   Tally   

   Frequency   

91-100

{tally90}

{_0}

81-90

{tally80}

{_1}

71-80

{tally70}

{_2}

61-70

{tally60}

{_3}
]]>

   Grade   

   Tally   

   Frequency   

91-100

{tally90}

{F90}

81-90

{tally80}

{F80}

71-80

{tally70}

{F70}

61-70

{tally60}

{F60}

The {F90} scores between 91-100: {G90}
The {F80} scores between 81-90: {G80}
The {F70} scores between 71-80: {G70}
The {F60} scores between 61-70: {G60}
]]> 1 1 0 1 F80 _err == 0 1 1 How many students have a grade between 81-90? {_0}]]>

{F80} students scored between 81 and 90.


]]> 2 1 0 1 F60 _err == 0 1 1

The teacher requires all students who scored a 70 or less to attend extra help.  How many students have a grade between 61-70? {_0}


]]> {F60} students scored between 61 and 70.]]> 3 1 0 1 students _err == 0 1 1 How many students are in the class? {_0}]]> There are {students} students in the class.]]> L23- Frequency Table 26 students Grades The test scores for a class are:  {classGrades}.]]> 4.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. Grades=shuffle([64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100]); 0,join("",Grades[0]),pick(i==25,join("",classGrades,", ",grades[i]),join("",classGrades,", and ",Grades[25]))); F90=(Grades[i]>90)?F90+1:F90; G90=pick(Grades[i]>90,G90,pick(F90>1,join("",Grades[i]),join("",G90,", ",Grades[i]))); F80=((Grades[i]>80&&Grades[i]<91))?F80+1:F80; G80=pick((Grades[i]>80)&&(Grades[i]<91),G80,pick(F80>1,join("",Grades[i]),join("",G80,", ",Grades[i]))); F70=((Grades[i]>70&&Grades[i]<81))?F70+1:F70; G70=pick((Grades[i]>70)&&(Grades[i]<81),G70,pick(F70>1,join("",Grades[i]),join("",G70,", ",Grades[i]))); F60=(Grades[i]<71)?F60+1:F60; G60=pick((Grades[i]>60)&&(Grades[i]<71),G60,pick(F60>1,join("",Grades[i]),join("",G60,", ",Grades[i]))); } T1="I"; T2="II"; T3="III"; T4="IIII"; T5="IIII"; T6="IIII I"; T7="IIII II"; T8="IIII III"; T9="IIII IIII"; T10="IIII IIII"; T11="IIII IIII I"; T12="IIII IIII II"; T13="IIII IIII III"; T14="IIII IIII IIII"; T15="IIII IIII IIII"; tally=["",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15]; tally90=pick(F90,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally80=pick(F80,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally70=pick(F70,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally60=pick(F60,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15);]]> none 0 1 0 4 [F90,F80,F70,F60] _err == 0 1 1 Fill in the frequency table to determine the grade distribution:

   Grade   

   Tally   

   Frequency   

91-100

{tally90}

{_0}

81-90

{tally80}

{_1}

71-80

{tally70}

{_2}

61-70

{tally60}

{_3}
]]>

   Grade   

   Tally   

   Frequency   

91-100

{tally90}

{F90}

81-90

{tally80}

{F80}

71-80

{tally70}

{F70}

61-70

{tally60}

{F60}

The {F90} scores between 91-100: {G90}
The {F80} scores between 81-90: {G80}
The {F70} scores between 71-80: {G70}
The {F60} scores between 61-70: {G60}
]]> 1 1 0 1 F80 _err == 0 1 1 How many students have a grade between 81-90? {_0}]]>

{F80} students scored between 81 and 90.


]]> 2 1 0 1 F60 _err == 0 1 1

The teacher requires all students who scored a 70 or less to attend extra help.  How many students have a grade between 61-70? {_0}


]]> {F60} students scored between 61 and 70.]]> 3 1 0 1 students _err == 0 1 1 How many students are in the class? {_0}]]> There are {students} students in the class.]]> L23- Frequency Table 27 students Grades The test scores for a class are:  {classGrades}.]]> 4.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. Grades=shuffle([64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100]); 0,join("",Grades[0]),pick(i==26,join("",classGrades,", ",grades[i]),join("",classGrades,", and ",Grades[26]))); F90=(Grades[i]>90)?F90+1:F90; G90=pick(Grades[i]>90,G90,pick(F90>1,join("",Grades[i]),join("",G90,", ",Grades[i]))); F80=((Grades[i]>80&&Grades[i]<91))?F80+1:F80; G80=pick((Grades[i]>80)&&(Grades[i]<91),G80,pick(F80>1,join("",Grades[i]),join("",G80,", ",Grades[i]))); F70=((Grades[i]>70&&Grades[i]<81))?F70+1:F70; G70=pick((Grades[i]>70)&&(Grades[i]<81),G70,pick(F70>1,join("",Grades[i]),join("",G70,", ",Grades[i]))); F60=(Grades[i]<71)?F60+1:F60; G60=pick((Grades[i]>60)&&(Grades[i]<71),G60,pick(F60>1,join("",Grades[i]),join("",G60,", ",Grades[i]))); } T1="I"; T2="II"; T3="III"; T4="IIII"; T5="IIII"; T6="IIII I"; T7="IIII II"; T8="IIII III"; T9="IIII IIII"; T10="IIII IIII"; T11="IIII IIII I"; T12="IIII IIII II"; T13="IIII IIII III"; T14="IIII IIII IIII"; T15="IIII IIII IIII"; tally=["",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15]; tally90=pick(F90,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally80=pick(F80,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally70=pick(F70,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally60=pick(F60,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15);]]> none 0 1 0 4 [F90,F80,F70,F60] _err == 0 1 1 Fill in the frequency table to determine the grade distribution:

   Grade   

   Tally   

   Frequency   

91-100

{tally90}

{_0}

81-90

{tally80}

{_1}

71-80

{tally70}

{_2}

61-70

{tally60}

{_3}
]]>

   Grade   

   Tally   

   Frequency   

91-100

{tally90}

{F90}

81-90

{tally80}

{F80}

71-80

{tally70}

{F70}

61-70

{tally60}

{F60}

The {F90} scores between 91-100: {G90}
The {F80} scores between 81-90: {G80}
The {F70} scores between 71-80: {G70}
The {F60} scores between 61-70: {G60}
]]> 1 1 0 1 F80 _err == 0 1 1 How many students have a grade between 81-90? {_0}]]>

{F80} students scored between 81 and 90.


]]> 2 1 0 1 F60 _err == 0 1 1

The teacher requires all students who scored a 70 or less to attend extra help.  How many students have a grade between 61-70? {_0}


]]> {F60} students scored between 61 and 70.]]> 3 1 0 1 students _err == 0 1 1 How many students are in the class? {_0}]]> There are {students} students in the class.]]> L23- Frequency Table 28 students Grades The test scores for a class are:  {classGrades}.]]> 4.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. Grades=shuffle([64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100]); 0,join("",Grades[0]),pick(i==27,join("",classGrades,", ",grades[i]),join("",classGrades,", and ",Grades[27]))); F90=(Grades[i]>90)?F90+1:F90; G90=pick(Grades[i]>90,G90,pick(F90>1,join("",Grades[i]),join("",G90,", ",Grades[i]))); F80=((Grades[i]>80&&Grades[i]<91))?F80+1:F80; G80=pick((Grades[i]>80)&&(Grades[i]<91),G80,pick(F80>1,join("",Grades[i]),join("",G80,", ",Grades[i]))); F70=((Grades[i]>70&&Grades[i]<81))?F70+1:F70; G70=pick((Grades[i]>70)&&(Grades[i]<81),G70,pick(F70>1,join("",Grades[i]),join("",G70,", ",Grades[i]))); F60=(Grades[i]<71)?F60+1:F60; G60=pick((Grades[i]>60)&&(Grades[i]<71),G60,pick(F60>1,join("",Grades[i]),join("",G60,", ",Grades[i]))); } T1="I"; T2="II"; T3="III"; T4="IIII"; T5="IIII"; T6="IIII I"; T7="IIII II"; T8="IIII III"; T9="IIII IIII"; T10="IIII IIII"; T11="IIII IIII I"; T12="IIII IIII II"; T13="IIII IIII III"; T14="IIII IIII IIII"; T15="IIII IIII IIII"; tally=["",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15]; tally90=pick(F90,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally80=pick(F80,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally70=pick(F70,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally60=pick(F60,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15);]]> none 0 1 0 4 [F90,F80,F70,F60] _err == 0 1 1 Fill in the frequency table to determine the grade distribution:

   Grade   

   Tally   

   Frequency   

91-100

{tally90}

{_0}

81-90

{tally80}

{_1}

71-80

{tally70}

{_2}

61-70

{tally60}

{_3}
]]>

   Grade   

   Tally   

   Frequency   

91-100

{tally90}

{F90}

81-90

{tally80}

{F80}

71-80

{tally70}

{F70}

61-70

{tally60}

{F60}

The {F90} scores between 91-100: {G90}
The {F80} scores between 81-90: {G80}
The {F70} scores between 71-80: {G70}
The {F60} scores between 61-70: {G60}
]]> 1 1 0 1 F80 _err == 0 1 1 How many students have a grade between 81-90? {_0}]]>

{F80} students scored between 81 and 90.


]]> 2 1 0 1 F60 _err == 0 1 1

The teacher requires all students who scored a 70 or less to attend extra help.  How many students have a grade between 61-70? {_0}


]]> {F60} students scored between 61 and 70.]]> 3 1 0 1 students _err == 0 1 1 How many students are in the class? {_0}]]> There are {students} students in the class.]]> L23- Frequency Table 29 students Grades The test scores for a class are:  {classGrades}.]]> 4.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. Grades=shuffle([64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100]); 0,join("",Grades[0]),pick(i==28,join("",classGrades,", ",grades[i]),join("",classGrades,", and ",Grades[28]))); F90=(Grades[i]>90)?F90+1:F90; G90=pick(Grades[i]>90,G90,pick(F90>1,join("",Grades[i]),join("",G90,", ",Grades[i]))); F80=((Grades[i]>80&&Grades[i]<91))?F80+1:F80; G80=pick((Grades[i]>80)&&(Grades[i]<91),G80,pick(F80>1,join("",Grades[i]),join("",G80,", ",Grades[i]))); F70=((Grades[i]>70&&Grades[i]<81))?F70+1:F70; G70=pick((Grades[i]>70)&&(Grades[i]<81),G70,pick(F70>1,join("",Grades[i]),join("",G70,", ",Grades[i]))); F60=(Grades[i]<71)?F60+1:F60; G60=pick((Grades[i]>60)&&(Grades[i]<71),G60,pick(F60>1,join("",Grades[i]),join("",G60,", ",Grades[i]))); } T1="I"; T2="II"; T3="III"; T4="IIII"; T5="IIII"; T6="IIII I"; T7="IIII II"; T8="IIII III"; T9="IIII IIII"; T10="IIII IIII"; T11="IIII IIII I"; T12="IIII IIII II"; T13="IIII IIII III"; T14="IIII IIII IIII"; T15="IIII IIII IIII"; tally=["",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15]; tally90=pick(F90,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally80=pick(F80,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally70=pick(F70,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally60=pick(F60,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15);]]> none 0 1 0 4 [F90,F80,F70,F60] _err == 0 1 1 Fill in the frequency table to determine the grade distribution:

   Grade   

   Tally   

   Frequency   

91-100

{tally90}

{_0}

81-90

{tally80}

{_1}

71-80

{tally70}

{_2}

61-70

{tally60}

{_3}
]]>

   Grade   

   Tally   

   Frequency   

91-100

{tally90}

{F90}

81-90

{tally80}

{F80}

71-80

{tally70}

{F70}

61-70

{tally60}

{F60}

The {F90} scores between 91-100: {G90}
The {F80} scores between 81-90: {G80}
The {F70} scores between 71-80: {G70}
The {F60} scores between 61-70: {G60}
]]> 1 1 0 1 F80 _err == 0 1 1 How many students have a grade between 81-90? {_0}]]>

{F80} students scored between 81 and 90.


]]> 2 1 0 1 F60 _err == 0 1 1

The teacher requires all students who scored a 70 or less to attend extra help.  How many students have a grade between 61-70? {_0}


]]> {F60} students scored between 61 and 70.]]> 3 1 0 1 students _err == 0 1 1 How many students are in the class? {_0}]]> There are {students} students in the class.]]> L23- Frequency Table 30 students Grades The test scores for a class are:  {classGrades}.]]> 4.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. Grades=shuffle([64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100,64,68,72,76,80,84,88,92,96,100]); 0,join("",Grades[0]),pick(i==29,join("",classGrades,", ",grades[i]),join("",classGrades,", and ",Grades[29]))); F90=(Grades[i]>90)?F90+1:F90; G90=pick(Grades[i]>90,G90,pick(F90>1,join("",Grades[i]),join("",G90,", ",Grades[i]))); F80=((Grades[i]>80&&Grades[i]<91))?F80+1:F80; G80=pick((Grades[i]>80)&&(Grades[i]<91),G80,pick(F80>1,join("",Grades[i]),join("",G80,", ",Grades[i]))); F70=((Grades[i]>70&&Grades[i]<81))?F70+1:F70; G70=pick((Grades[i]>70)&&(Grades[i]<81),G70,pick(F70>1,join("",Grades[i]),join("",G70,", ",Grades[i]))); F60=(Grades[i]<71)?F60+1:F60; G60=pick((Grades[i]>60)&&(Grades[i]<71),G60,pick(F60>1,join("",Grades[i]),join("",G60,", ",Grades[i]))); } T1="I"; T2="II"; T3="III"; T4="IIII"; T5="IIII"; T6="IIII I"; T7="IIII II"; T8="IIII III"; T9="IIII IIII"; T10="IIII IIII"; T11="IIII IIII I"; T12="IIII IIII II"; T13="IIII IIII III"; T14="IIII IIII IIII"; T15="IIII IIII IIII"; tally=["",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15]; tally90=pick(F90,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally80=pick(F80,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally70=pick(F70,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally60=pick(F60,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15);]]> none 0 1 0 4 [F90,F80,F70,F60] _err == 0 1 1 Fill in the frequency table to determine the grade distribution:

   Grade   

   Tally   

   Frequency   

91-100

{tally90}

{_0}

81-90

{tally80}

{_1}

71-80

{tally70}

{_2}

61-70

{tally60}

{_3}
]]>

   Grade   

   Tally   

   Frequency   

91-100

{tally90}

{F90}

81-90

{tally80}

{F80}

71-80

{tally70}

{F70}

61-70

{tally60}

{F60}

The {F90} scores between 91-100: {G90}
The {F80} scores between 81-90: {G80}
The {F70} scores between 71-80: {G70}
The {F60} scores between 61-70: {G60}
]]> 1 1 0 1 F80 _err == 0 1 1 How many students have a grade between 81-90? {_0}]]>

{F80} students scored between 81 and 90.


]]> 2 1 0 1 F60 _err == 0 1 1

The teacher requires all students who scored a 70 or less to attend extra help.  How many students have a grade between 61-70? {_0}


]]> {F60} students scored between 61 and 70.]]> 3 1 0 1 students _err == 0 1 1 How many students are in the class? {_0}]]> There are {students} students in the class.]]> $course$/top/Default for MSII/Test #3/L23- Frequency Tables/L23- Rolling Dice L23- Frequency Table Roll 2 dice - 40 times Two 6-sided dice were rolled.  The sum of each roll was recorded.

The rolls were:  {classGrades}.

]]> 4.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. possible=shuffle([2, 3, 4, 5, 6, 7,3, 4, 5, 6, 7, 8,4, 5, 6, 7, 8, 9,5, 6, 7, 8, 9, 10,6, 7, 8, 9, 10, 11,7, 8, 9, 10, 11, 12,2, 3, 4, 5, 6, 7,3, 4, 5, 6, 7, 8,4, 5, 6, 7, 8, 9,5, 6, 7, 8, 9, 10,6, 7, 8, 9, 10, 11,7, 8, 9, 10, 11, 12,2, 3, 4, 5, 6, 7,3, 4, 5, 6, 7, 8,4, 5, 6, 7, 8, 9,5, 6, 7, 8, 9, 10,6, 7, 8, 9, 10, 11,7, 8, 9, 10, 11, 12,2, 3, 4, 5, 6, 7,3, 4, 5, 6, 7, 8,4, 5, 6, 7, 8, 9,5, 6, 7, 8, 9, 10,6, 7, 8, 9, 10, 11,7, 8, 9, 10, 11, 12,2, 3, 4, 5, 6, 7,3, 4, 5, 6, 7, 8,4, 5, 6, 7, 8, 9,5, 6, 7, 8, 9, 10,6, 7, 8, 9, 10, 11,7, 8, 9, 10, 11, 12]); numRoll={2,3,4,5,6,7,8,9,10,11,12}; 0,join("",possible[0]),pick(i==39,join("",classGrades,", ",grades[i]),join("",classGrades,", and ",possible[39]))); F12=(possible[i]==12)?F12+1:F12; F11=(possible[i]==11)?F11+1:F11; F10=(possible[i]==10)?F10+1:F10; F9=(possible[i]==9)?F9+1:F9; F8=(possible[i]==8)?F8+1:F8; F7=(possible[i]==7)?F7+1:F7; F6=(possible[i]==6)?F6+1:F6; F5=(possible[i]==5)?F5+1:F5; F4=(possible[i]==4)?F4+1:F4; F3=(possible[i]==3)?F3+1:F3; F2=(possible[i]==2)?F2+1:F2; } T1="I"; T2="II"; T3="III"; T4="IIII"; T5="IIII"; T6="IIII I"; T7="IIII II"; T8="IIII III"; T9="IIII IIII"; T10="IIII IIII"; T11="IIII IIII I"; T12="IIII IIII II"; T13="IIII IIII III"; T14="IIII IIII IIII"; T15="IIII IIII IIII"; tally=["",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15]; tally12=pick(F12,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally11=pick(F11,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally10=pick(F10,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally9=pick(F9,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally8=pick(F8,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally7=pick(F7,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally6=pick(F6,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally5=pick(F5,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally4=pick(F4,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally3=pick(F3,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally2=pick(F2,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15);]]> none 0 1 0 11 [F12,F11,F10,F9,F8,F7,F6,F5,F4,F3,F2] _err == 0 1 1 Fill in the frequency table to show the rolls:

   Roll

   Tally   

   Frequency   

12

{tally12}

{_0}

11

{tally11}

{_1}

10

{tally10}

{_2}

9

{tally9}

{_3}

8

{tally8}

{_4}

7

{tally7}

{_5}

6

{tally6}

{_6}

5

{tally5}

{_7}

4

{tally4}

{_8}

3

{tally3}

{_9}

2

{tally2}

{_10}
]]> Fill in the frequency table to show the rolls:

   Roll

   Tally   

   Frequency   

12

{tally12}

{F12}

11

{tally11}

{F11}

10

{tally10}

{F10}

9

{tally9}

{F9}

8

{tally8}

{F8}

7

{tally7}

{F7}

6

{tally6}

{F6}

5

{tally5}

{F5}

4

{tally4}

{F4}

3

{tally3}

{F3}

2

{tally2}

{F2}
]]> 1 1 0 1 Freq=[0,0,F2,F3,F4,F5,F6,F7,F8,F9,F10,F11,F12]; Freq[numRoll] _err == 0 1 1 How many {numRoll}'s were rolled? {_0}]]>

A {numRoll} was rolled {=Freq[numRoll]} times.


]]> 2 1 0 1 most)?Freq[i]:timesRolled; most=(Freq[i]>most)?i:most; }]]> most Freq[_0]=timesRolled 1 1 What number was rolled the most? {_0}  

(if there is more than one answer, only enter one of the numbers)

]]> {most} was rolled the {timesRolled} times.]]> 3 1 0 1 students _err == 0 1 1 How many times were the dice rolled? {_0}]]> There are {students} students in the class.]]> L23- Frequency Table Roll 2 dice - 45 Two 6-sided dice were rolled.  The sum of each roll was recorded.

The rolls were:  {classGrades}.

]]> 4.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. possible=shuffle([2, 3, 4, 5, 6, 7,3, 4, 5, 6, 7, 8,4, 5, 6, 7, 8, 9,5, 6, 7, 8, 9, 10,6, 7, 8, 9, 10, 11,7, 8, 9, 10, 11, 12,2, 3, 4, 5, 6, 7,3, 4, 5, 6, 7, 8,4, 5, 6, 7, 8, 9,5, 6, 7, 8, 9, 10,6, 7, 8, 9, 10, 11,7, 8, 9, 10, 11, 12,2, 3, 4, 5, 6, 7,3, 4, 5, 6, 7, 8,4, 5, 6, 7, 8, 9,5, 6, 7, 8, 9, 10,6, 7, 8, 9, 10, 11,7, 8, 9, 10, 11, 12,2, 3, 4, 5, 6, 7,3, 4, 5, 6, 7, 8,4, 5, 6, 7, 8, 9,5, 6, 7, 8, 9, 10,6, 7, 8, 9, 10, 11,7, 8, 9, 10, 11, 12,2, 3, 4, 5, 6, 7,3, 4, 5, 6, 7, 8,4, 5, 6, 7, 8, 9,5, 6, 7, 8, 9, 10,6, 7, 8, 9, 10, 11,7, 8, 9, 10, 11, 12]); numRoll={2,3,4,5,6,7,8,9,10,11,12}; 0,join("",possible[0]),pick(i==44,join("",classGrades,", ",grades[i]),join("",classGrades,", and ",possible[44]))); F12=(possible[i]==12)?F12+1:F12; F11=(possible[i]==11)?F11+1:F11; F10=(possible[i]==10)?F10+1:F10; F9=(possible[i]==9)?F9+1:F9; F8=(possible[i]==8)?F8+1:F8; F7=(possible[i]==7)?F7+1:F7; F6=(possible[i]==6)?F6+1:F6; F5=(possible[i]==5)?F5+1:F5; F4=(possible[i]==4)?F4+1:F4; F3=(possible[i]==3)?F3+1:F3; F2=(possible[i]==2)?F2+1:F2; } T1="I"; T2="II"; T3="III"; T4="IIII"; T5="IIII"; T6="IIII I"; T7="IIII II"; T8="IIII III"; T9="IIII IIII"; T10="IIII IIII"; T11="IIII IIII I"; T12="IIII IIII II"; T13="IIII IIII III"; T14="IIII IIII IIII"; T15="IIII IIII IIII"; tally=["",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15]; tally12=pick(F12,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally11=pick(F11,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally10=pick(F10,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally9=pick(F9,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally8=pick(F8,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally7=pick(F7,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally6=pick(F6,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally5=pick(F5,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally4=pick(F4,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally3=pick(F3,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally2=pick(F2,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15);]]> none 0 1 0 11 [F12,F11,F10,F9,F8,F7,F6,F5,F4,F3,F2] _err == 0 1 1 Fill in the frequency table to show the rolls:

   Roll

   Tally   

   Frequency   

12

{tally12}

{_0}

11

{tally11}

{_1}

10

{tally10}

{_2}

9

{tally9}

{_3}

8

{tally8}

{_4}

7

{tally7}

{_5}

6

{tally6}

{_6}

5

{tally5}

{_7}

4

{tally4}

{_8}

3

{tally3}

{_9}

2

{tally2}

{_10}
]]> Fill in the frequency table to show the rolls:

   Roll

   Tally   

   Frequency   

12

{tally12}

{F12}

11

{tally11}

{F11}

10

{tally10}

{F10}

9

{tally9}

{F9}

8

{tally8}

{F8}

7

{tally7}

{F7}

6

{tally6}

{F6}

5

{tally5}

{F5}

4

{tally4}

{F4}

3

{tally3}

{F3}

2

{tally2}

{F2}
]]> 1 1 0 1 Freq=[0,0,F2,F3,F4,F5,F6,F7,F8,F9,F10,F11,F12]; Freq[numRoll] _err == 0 1 1 How many {numRoll}'s were rolled? {_0}]]>

A {numRoll} was rolled {=Freq[numRoll]} times.


]]> 2 1 0 1 most)?Freq[i]:timesRolled; most=(Freq[i]>most)?i:most; }]]> most Freq[_0]=timesRolled 1 1 What number was rolled the most? {_0}  

(if there is more than one answer, only enter one of the numbers)

]]> {most} was rolled the {timesRolled} times.]]> 3 1 0 1 students _err == 0 1 1 How many times were the dice rolled? {_0}]]> There are {students} students in the class.]]> L23- Frequency Table Roll 2 dice - 45 Two 6-sided dice were rolled.  The sum of each roll was recorded.

The rolls were:  {classGrades}.

]]> 4.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. possible=shuffle([2, 3, 4, 5, 6, 7,3, 4, 5, 6, 7, 8,4, 5, 6, 7, 8, 9,5, 6, 7, 8, 9, 10,6, 7, 8, 9, 10, 11,7, 8, 9, 10, 11, 12,2, 3, 4, 5, 6, 7,3, 4, 5, 6, 7, 8,4, 5, 6, 7, 8, 9,5, 6, 7, 8, 9, 10,6, 7, 8, 9, 10, 11,7, 8, 9, 10, 11, 12,2, 3, 4, 5, 6, 7,3, 4, 5, 6, 7, 8,4, 5, 6, 7, 8, 9,5, 6, 7, 8, 9, 10,6, 7, 8, 9, 10, 11,7, 8, 9, 10, 11, 12,2, 3, 4, 5, 6, 7,3, 4, 5, 6, 7, 8,4, 5, 6, 7, 8, 9,5, 6, 7, 8, 9, 10,6, 7, 8, 9, 10, 11,7, 8, 9, 10, 11, 12,2, 3, 4, 5, 6, 7,3, 4, 5, 6, 7, 8,4, 5, 6, 7, 8, 9,5, 6, 7, 8, 9, 10,6, 7, 8, 9, 10, 11,7, 8, 9, 10, 11, 12]); numRoll={2,3,4,5,6,7,8,9,10,11,12}; 0,join("",possible[0]),pick(i==44,join("",classGrades,", ",grades[i]),join("",classGrades,", and ",possible[44]))); F12=(possible[i]==12)?F12+1:F12; F11=(possible[i]==11)?F11+1:F11; F10=(possible[i]==10)?F10+1:F10; F9=(possible[i]==9)?F9+1:F9; F8=(possible[i]==8)?F8+1:F8; F7=(possible[i]==7)?F7+1:F7; F6=(possible[i]==6)?F6+1:F6; F5=(possible[i]==5)?F5+1:F5; F4=(possible[i]==4)?F4+1:F4; F3=(possible[i]==3)?F3+1:F3; F2=(possible[i]==2)?F2+1:F2; } T1="I"; T2="II"; T3="III"; T4="IIII"; T5="IIII"; T6="IIII I"; T7="IIII II"; T8="IIII III"; T9="IIII IIII"; T10="IIII IIII"; T11="IIII IIII I"; T12="IIII IIII II"; T13="IIII IIII III"; T14="IIII IIII IIII"; T15="IIII IIII IIII"; tally=["",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15]; tally12=pick(F12,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally11=pick(F11,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally10=pick(F10,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally9=pick(F9,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally8=pick(F8,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally7=pick(F7,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally6=pick(F6,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally5=pick(F5,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally4=pick(F4,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally3=pick(F3,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally2=pick(F2,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15);]]> none 0 1 0 11 [F12,F11,F10,F9,F8,F7,F6,F5,F4,F3,F2] _err == 0 1 1 Fill in the frequency table to show the rolls:

   Roll

   Tally   

   Frequency   

12

{tally12}

{_0}

11

{tally11}

{_1}

10

{tally10}

{_2}

9

{tally9}

{_3}

8

{tally8}

{_4}

7

{tally7}

{_5}

6

{tally6}

{_6}

5

{tally5}

{_7}

4

{tally4}

{_8}

3

{tally3}

{_9}

2

{tally2}

{_10}
]]> Fill in the frequency table to show the rolls:

   Roll

   Tally   

   Frequency   

12

{tally12}

{F12}

11

{tally11}

{F11}

10

{tally10}

{F10}

9

{tally9}

{F9}

8

{tally8}

{F8}

7

{tally7}

{F7}

6

{tally6}

{F6}

5

{tally5}

{F5}

4

{tally4}

{F4}

3

{tally3}

{F3}

2

{tally2}

{F2}
]]> 1 1 0 1 Freq=[0,0,F2,F3,F4,F5,F6,F7,F8,F9,F10,F11,F12]; Freq[numRoll] _err == 0 1 1 How many {numRoll}'s were rolled? {_0}]]>

A {numRoll} was rolled {=Freq[numRoll]} times.


]]> 2 1 0 1 most)?Freq[i]:timesRolled; most=(Freq[i]>most)?i:most; }]]> most Freq[_0]=timesRolled 1 1 What number was rolled the most? {_0}  

(if there is more than one answer, only enter one of the numbers)

]]> {most} was rolled the {timesRolled} times.]]> 3 1 0 1 students _err == 0 1 1 How many times were the dice rolled? {_0}]]> There were {students} dice rolled.]]> L23- Frequency Table Roll 2 dice - 50 times Two 6-sided dice were rolled.  The sum of each roll was recorded.

The rolls were:  {classGrades}.

]]> 4.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. possible=shuffle([2, 3, 4, 5, 6, 7,3, 4, 5, 6, 7, 8,4, 5, 6, 7, 8, 9,5, 6, 7, 8, 9, 10,6, 7, 8, 9, 10, 11,7, 8, 9, 10, 11, 12,2, 3, 4, 5, 6, 7,3, 4, 5, 6, 7, 8,4, 5, 6, 7, 8, 9,5, 6, 7, 8, 9, 10,6, 7, 8, 9, 10, 11,7, 8, 9, 10, 11, 12,2, 3, 4, 5, 6, 7,3, 4, 5, 6, 7, 8,4, 5, 6, 7, 8, 9,5, 6, 7, 8, 9, 10,6, 7, 8, 9, 10, 11,7, 8, 9, 10, 11, 12,2, 3, 4, 5, 6, 7,3, 4, 5, 6, 7, 8,4, 5, 6, 7, 8, 9,5, 6, 7, 8, 9, 10,6, 7, 8, 9, 10, 11,7, 8, 9, 10, 11, 12,2, 3, 4, 5, 6, 7,3, 4, 5, 6, 7, 8,4, 5, 6, 7, 8, 9,5, 6, 7, 8, 9, 10,6, 7, 8, 9, 10, 11,7, 8, 9, 10, 11, 12]); numRoll={2,3,4,5,6,7,8,9,10,11,12}; 0,join("",possible[0]),pick(i==49,join("",classGrades,", ",grades[i]),join("",classGrades,", and ",possible[49]))); F12=(possible[i]==12)?F12+1:F12; F11=(possible[i]==11)?F11+1:F11; F10=(possible[i]==10)?F10+1:F10; F9=(possible[i]==9)?F9+1:F9; F8=(possible[i]==8)?F8+1:F8; F7=(possible[i]==7)?F7+1:F7; F6=(possible[i]==6)?F6+1:F6; F5=(possible[i]==5)?F5+1:F5; F4=(possible[i]==4)?F4+1:F4; F3=(possible[i]==3)?F3+1:F3; F2=(possible[i]==2)?F2+1:F2; } T1="I"; T2="II"; T3="III"; T4="IIII"; T5="IIII"; T6="IIII I"; T7="IIII II"; T8="IIII III"; T9="IIII IIII"; T10="IIII IIII"; T11="IIII IIII I"; T12="IIII IIII II"; T13="IIII IIII III"; T14="IIII IIII IIII"; T15="IIII IIII IIII"; tally=["",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15]; tally12=pick(F12,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally11=pick(F11,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally10=pick(F10,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally9=pick(F9,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally8=pick(F8,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally7=pick(F7,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally6=pick(F6,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally5=pick(F5,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally4=pick(F4,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally3=pick(F3,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15); tally2=pick(F2,"",T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15);]]> none 0 1 0 11 [F12,F11,F10,F9,F8,F7,F6,F5,F4,F3,F2] _err == 0 1 1 Fill in the frequency table to show the rolls:

   Roll

   Tally   

   Frequency   

12

{tally12}

{_0}

11

{tally11}

{_1}

10

{tally10}

{_2}

9

{tally9}

{_3}

8

{tally8}

{_4}

7

{tally7}

{_5}

6

{tally6}

{_6}

5

{tally5}

{_7}

4

{tally4}

{_8}

3

{tally3}

{_9}

2

{tally2}

{_10}
]]> Fill in the frequency table to show the rolls:

   Roll

   Tally   

   Frequency   

12

{tally12}

{F12}

11

{tally11}

{F11}

10

{tally10}

{F10}

9

{tally9}

{F9}

8

{tally8}

{F8}

7

{tally7}

{F7}

6

{tally6}

{F6}

5

{tally5}

{F5}

4

{tally4}

{F4}

3

{tally3}

{F3}

2

{tally2}

{F2}
]]> 1 1 0 1 Freq=[0,0,F2,F3,F4,F5,F6,F7,F8,F9,F10,F11,F12]; Freq[numRoll] _err == 0 1 1 How many {numRoll}'s were rolled? {_0}]]>

A {numRoll} was rolled {=Freq[numRoll]} times.


]]> 2 1 0 1 most)?Freq[i]:timesRolled; most=(Freq[i]>most)?i:most; }]]> most Freq[_0]=timesRolled 1 1 What number was rolled the most? {_0}  

(if there is more than one answer, only enter one of the numbers)

]]> {most} was rolled the {timesRolled} times.]]> 3 1 0 1 students _err == 0 1 1 How many times were the dice rolled? {_0}]]> There are {students} students in the class.]]> $course$/top/Default for MSII/Test #3/L18 - Solving Multiplication Equations/L18- Division Equations TL18 - Division Equation (copy) Solve for {var}:

\(\frac{{var}}{{a}}\) = {b}

]]>

\(\frac{{var}}{{a}}\) = {b}

       

Write the equation

({a})\(\frac{{var}}{{a}}\) = {b}({a})


multiply by {a} on both sides

 {var}       = {=b*a}

simplify

Check

\(\frac{{var}}{{a}}\) = {b}

Write the equation

\(\frac{{x}}{{a}}\) = {b}

Substitute {var}={x}

You can use ?= to show you are testing if the answer is correct.

{=x/a} ?= {b}

It is true, therefore {var}={x} is the correct answer.

]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. b=a*temp; x=b*a; y={-100:100:1}; z={-100:100:1}; t={-100:100:1}; p={-100:100:1}; c={-100:100:1}; abc 0 1 0 1 x _err == 0 1 1 {var}={_0}]]> TL18 - Division Equation (decimal) (copy) Solve for {var}:

\(\frac{{var}}{{a}}\) = {b}

]]>

\(\frac{{var}}{{a}}\) = {b}

       

Write the equation

({a})\(\frac{{var}}{{a}}\) = {b}({a})


multiply by {a} on both sides

 {var}       = {=b*a}

simplify

Check

\(\frac{{var}}{{a}}\) = {b}

Write the equation

\(\frac{{x}}{{a}}\) = {b}

Substitute {var}={x}

You can use ?= to show you are testing if the answer is correct.

{=x/a} ?= {b}

It is true, therefore {var}={x} is the correct answer.

]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. b=a*temp; x=b*a; y={-100:100:1}; z={-100:100:1}; t={-100:100:1}; p={-100:100:1}; c={-100:100:1}; abc 0 1 0 1 x _err == 0 1 1 {var}={_0}]]> $course$/top/Default for MSII/Test #3/L18 - Solving Multiplication Equations/L18- Multiplication Equations TL18 - Multiplication Equation (copy) Solve for {var}:

{a}{var} = {b}

]]>

{a}{var} = {b}

        

Write the equation

   {a}    {a}

divide by {a} on both sides

 {var}       = {=b/a}

simplify

Check

{a}{var} = {b}

Write the equation

{a}({x}) ?= {b}

Substitute {var}=({x})

Put the value of {var} in parentheses to show multiplication.
You can use ?= to show you are testing if the answer is correct.

{=x*a} ?= {b}

It is true, therefore {var}={x} is the correct answer.
]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. b=x*a; y={-100:100:1}; z={-100:100:1}; t={-100:100:1}; p={-100:100:1}; c={-100:100:1}; abc 0 1 0 1 x _err == 0 1 1 {var}={_0}]]> TL18 - Multiplication Equation (decimal) (copy) Solve for {var}:

{a}{var} = {b}

]]>

{a}{var} = {b}

        

Write the equation

   {a}    {a}

divide by {a} on both sides

 {var}       = {=b/a}

simplify

Check

{a}{var} = {b}

Write the equation

{a}({x}) ?= {b}

Substitute {var}=({x})

Put the value of {var} in parentheses to show multiplication.
You can use ?= to show you are testing if the answer is correct.

{=x*a} ?= {b}

It is true, therefore {var}={x} is the correct answer.
]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. b=x*a; y={-100:100:1}; z={-100:100:1}; t={-100:100:1}; p={-100:100:1}; c={-100:100:1}; abc 0 1 0 1 x _err == 0 1 1 {var}={_0}]]> $course$/top/Default for MSII/Test #3/L24- Subtracting Integers L21 -Subtraction Signed Numbers (+-) Calculate:

]]>

{A} - {B} 

          

{A} + {b}

Rewrite the subtraction as 
Adding the opposite

{=A-B}


Follow the rules of addition

The signs are the same, find the sum 

The sum of {a} and {b} = {=abs(a+b)}

Keep the sign.

The answer is {signAns}
]]> 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 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. a={1:10:1}; b={1:10:1}; b)?a:b; signAns="positive"; ]]> abc 0 1 100 1 b)?(a):(b); AnsSign=pick(a>b,["negative","positive"]); NumSum = a+b; Sum=A+B;]]> A-B 1 1 {A} - {B} = {_0}]]> L21 -Subtraction Signed Numbers (-+) Calculate:

]]>

{A} - {B} 

          

{A} + {b}

Rewrite the subtraction as 
Adding the opposite

{=A-B}


Follow the rules of addition

The signs are the same, find the sum 

The sum of {a} and {b} = {=abs(a+b)}

Keep the sign.

The answer is {signAns}
]]> 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 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. a={1:10:1}; b={1:10:1}; b)?a:b; signAns="negative"; ]]> abc 0 1 100 1 b)?(a):(b); AnsSign=pick(a>b,["negative","positive"]); NumSum = a+b; Sum=A+B;]]> A-B 1 1 {A} - {B} = {_0}]]> L21 -Subtraction Signed Numbers (--) Calculate:

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{A} - {B} 

          

{A} + {b}

Rewrite the subtraction as 
Adding the opposite

{=A-B}


Follow the rules of addition

The signs are different, take the difference 

The difference of {a} and {b} = {=abs(a-b)}

Use the sign of the larger number.

{larger} is larger, therefore the answer is {signAns}
]]> 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 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. a={1:10:1}; b={1:10:1}; b)?a:b; signAns=pick(a>b,"positive","negative"); ]]> abc 0 1 100 1 b)?(a):(b); AnsSign=pick(a>b,["negative","positive"]); NumSum = a+b; Sum=A+B;]]> A-B 1 1 {A} - {B} = {_0}]]> L24- Subtracting -Signed Numbers (4 in one) Calculate:]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. a={1:10:1}; b={1:10:1}; Sa={-1,1}; Sb={-1,1}; num1=shuffle([1,2,3,4,5,6,7,8,9,10,10,1,2,3,4,5,6,7,8,9,10]); num2=shuffle([1,2,3,4,5,6,7,8,9,10,10,1,2,3,4,5,6,7,8,9,10]); signA=shuffle([-1,-1,-1,-1,-1,-1,-1,1,1,-1]); signB=shuffle([-1,-1,-1,-1,-1,1,-1,1,-1,-1]); abc 0 0.25 100 1 0,["negative","positive"]); SignB=pick(OppSb>0,["negative","positive"]); SameSigns = pick(Sa==OppSb,["different","the same"]); Action=pick(Sa==OppSb,["Take the difference.
Use the sign of the larger number.","Add the numbers
Keep the sign."]); Work=pick(Sa==OppSb,[join("","The difference of ",a," and ",b," is ",abs(a-b)),join("","The sum of ",a," and ",b," is ",a+b)]); SignAns=pick(A-B>0,"The answer is negative","The answer is Positive");]]> A-B 1 1 {A} - {B} = {_0}]]>

Change Subtraction to Adding the Opposite.

{A} - {B} = {A} + {OppB}

{A} is a {SignA} number.
{OppB} is a {SignB} number.
The sign of {a} and {b} are {SameSigns}. 

{Action}

{Work}

{SignAns}


]]> 1 0.25 0 1 0,["negative","positive"]); SignB=pick(OppSb>0,["negative","positive"]); SameSigns = pick(Sa==OppSb,["different","the same"]); Action=pick(Sa==OppSb,["Take the difference.
Use the sign of the larger number.","Add the numbers
Keep the sign."]); Work=pick(Sa==OppSb,[join("","The difference of ",a," and ",b," is ",abs(a-b)),join("","The sum of ",a," and ",b," is ",a+b)]); SignAns=pick(A-B>0,"The answer is negative","The answer is Positive");]]> A-B _err == 0 1 1 {A} - {B} = {_0}]]> {A} is a {SignA} number.
{B} is a {SignB} number.
The sign of {a} and {b} are {SameSigns}. 

{Action}

{Work}

{SignAns}

]]> 2 0.25 0 1 0,["negative","positive"]); SignB=pick(OppSb>0,["negative","positive"]); SameSigns = pick(Sa==OppSb,["different","the same"]); Action=pick(Sa==OppSb,["Take the difference.
Use the sign of the larger number.","Add the numbers
Keep the sign."]); Work=pick(Sa==OppSb,[join("","The difference of ",a," and ",b," is ",abs(a-b)),join("","The sum of ",a," and ",b," is ",a+b)]); SignAns=pick(A-B>0,"The answer is negative","The answer is Positive");]]> A-B _err == 0 1 1 {A} - {B} = {_0}]]> {A} is a {SignA} number.
{B} is a {SignB} number.
The sign of {a} and {b} are {SameSigns}. 

{Action}

{Work}

{SignAns}

]]> 3 0.25 0 1 0,["negative","positive"]); SignB=pick(OppSb>0,["negative","positive"]); SameSigns = pick(Sa==OppSb,["different","the same"]); Action=pick(Sa==OppSb,["Take the difference.
Use the sign of the larger number.","Add the numbers
Keep the sign."]); Work=pick(Sa==OppSb,[join("","The difference of ",a," and ",b," is ",abs(a-b)),join("","The sum of ",a," and ",b," is ",a+b)]); SignAns=pick(A-B>0,"The answer is negative","The answer is Positive");]]> A-B _err == 0 1 1 {A} - {B} = {_0}]]> {A} is a {SignA} number.
{B} is a {SignB} number.
The sign of {a} and {b} are {SameSigns}. 

{Action}

{Work}

{SignAns}

]]> L24- Subtracting Signed Numbers (4 in one) Calculate:]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. a={1:10:1}; b={1:10:1}; Sa={-1,1}; Sb={-1,1}; num1=shuffle([1,2,3,4,5,6,7,8,9,10,10,1,2,3,4,5,6,7,8,9,10]); num2=shuffle([1,2,3,4,5,6,7,8,9,10,10,1,2,3,4,5,6,7,8,9,10]); signA=shuffle([-1,-1,-1,-1,-1,-1,-1,1,1,-1]); signB=shuffle([-1,-1,-1,-1,-1,1,-1,1,-1,-1]); abc 0 0.25 100 1 0,["negative","positive"]); SignB=pick(OppSb>0,["negative","positive"]); SameSigns = pick(Sa==OppSb,["different","the same"]); Action=pick(Sa==OppSb,["Take the difference.
Use the sign of the larger number.","Add the numbers
Keep the sign."]); Work=pick(Sa==OppSb,[join("","The difference of ",a," and ",b," is ",abs(a-b)),join("","The sum of ",a," and ",b," is ",a+b)]); SignAns=pick(A-B>0,"The answer is negative","The answer is Positive");]]> A-B 1 1 {A} - {B} = {_0}]]>

Change Subtraction to Adding the Opposite.

{A} - {B} = {A} + {OppB}

{A} is a {SignA} number.
{OppB} is a {SignB} number.
The sign of {a} and {b} are {SameSigns}. 

{Action}

{Work}

{SignAns}


]]> 1 0.25 0 1 0,["negative","positive"]); SignB=pick(OppSb>0,["negative","positive"]); SameSigns = pick(Sa==OppSb,["different","the same"]); Action=pick(Sa==OppSb,["Take the difference.
Use the sign of the larger number.","Add the numbers
Keep the sign."]); Work=pick(Sa==OppSb,[join("","The difference of ",a," and ",b," is ",abs(a-b)),join("","The sum of ",a," and ",b," is ",a+b)]); SignAns=pick(A-B>0,"The answer is negative","The answer is Positive");]]> A-B _err == 0 1 1 {A} - {B} = {_0}]]>

Change Subtraction to Adding the Opposite.

{A} - {B} = {A} + {OppB}

{A} is a {SignA} number.
{B} is a {SignB} number.
The sign of {a} and {b} are {SameSigns}. 

{Action}

{Work}

{SignAns}

]]> 2 0.25 0 1 0,["negative","positive"]); SignB=pick(OppSb>0,["negative","positive"]); SameSigns = pick(Sa==OppSb,["different","the same"]); Action=pick(Sa==OppSb,["Take the difference.
Use the sign of the larger number.","Add the numbers
Keep the sign."]); Work=pick(Sa==OppSb,[join("","The difference of ",a," and ",b," is ",abs(a-b)),join("","The sum of ",a," and ",b," is ",a+b)]); SignAns=pick(A-B>0,"The answer is negative","The answer is Positive");]]> A-B _err == 0 1 1 {A} - {B} = {_0}]]>

Change Subtraction to Adding the Opposite.

{A} - {B} = {A} + {OppB}

{A} is a {SignA} number.
{B} is a {SignB} number.
The sign of {a} and {b} are {SameSigns}. 

{Action}

{Work}

{SignAns}

]]> 3 0.25 0 1 0,["negative","positive"]); SignB=pick(OppSb>0,["negative","positive"]); SameSigns = pick(Sa==OppSb,["different","the same"]); Action=pick(Sa==OppSb,["Take the difference.
Use the sign of the larger number.","Add the numbers
Keep the sign."]); Work=pick(Sa==OppSb,[join("","The difference of ",a," and ",b," is ",abs(a-b)),join("","The sum of ",a," and ",b," is ",a+b)]); SignAns=pick(A-B>0,"The answer is negative","The answer is Positive");]]> A-B _err == 0 1 1 {A} - {B} = {_0}]]>

Change Subtraction to Adding the Opposite.

{A} - {B} = {A} + {OppB}

{A} is a {SignA} number.
{B} is a {SignB} number.
The sign of {a} and {b} are {SameSigns}. 

{Action}

{Work}

{SignAns}

]]> L24- Subtracting Signed Numbers (4 in one) Calculate:]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. a={1:10:1}; b={1:10:1}; Sa={-1,1}; Sb={-1,1}; num1=shuffle([1,2,3,4,5,6,7,8,9,10,10,1,2,3,4,5,6,7,8,9,10]); num2=shuffle([1,2,3,4,5,6,7,8,9,10,10,1,2,3,4,5,6,7,8,9,10]); signA=shuffle([-1,-1,-1,-1,-1,-1,-1,1,1,-1]); signB=shuffle([-1,-1,-1,-1,-1,1,-1,1,-1,-1]); abc 0 0.25 100 1 0,["negative","positive"]); SignB=pick(OppSb>0,["negative","positive"]); SameSigns = pick(Sa==OppSb,["different","the same"]); Action=pick(Sa==OppSb,["Take the difference.
Use the sign of the larger number.","Add the numbers
Keep the sign."]); Work=pick(Sa==OppSb,[join("","The difference of ",a," and ",b," is ",abs(a-b)),join("","The sum of ",a," and ",b," is ",a+b)]); SignAns=pick(A-B>0,"The answer is negative","The answer is Positive");]]> A-B 1 1 {A} - {B} = {_0}]]>

Change Subtraction to Adding the Opposite.

{A} - {B} = {A} + {OppB}

{A} is a {SignA} number.
{OppB} is a {SignB} number.
The sign of {a} and {b} are {SameSigns}. 

{Action}

{Work}

{SignAns}


]]> 1 0.25 0 1 0,["negative","positive"]); SignB=pick(OppSb>0,["negative","positive"]); SameSigns = pick(Sa==OppSb,["different","the same"]); Action=pick(Sa==OppSb,["Take the difference.
Use the sign of the larger number.","Add the numbers
Keep the sign."]); Work=pick(Sa==OppSb,[join("","The difference of ",a," and ",b," is ",abs(a-b)),join("","The sum of ",a," and ",b," is ",a+b)]); SignAns=pick(A-B>0,"The answer is negative","The answer is Positive");]]> A-B _err == 0 1 1 {A} - {B} = {_0}]]> {A} is a {SignA} number.
{B} is a {SignB} number.
The sign of {a} and {b} are {SameSigns}. 

{Action}

{Work}

{SignAns}

]]> 2 0.25 0 1 0,["negative","positive"]); SignB=pick(OppSb>0,["negative","positive"]); SameSigns = pick(Sa==OppSb,["different","the same"]); Action=pick(Sa==OppSb,["Take the difference.
Use the sign of the larger number.","Add the numbers
Keep the sign."]); Work=pick(Sa==OppSb,[join("","The difference of ",a," and ",b," is ",abs(a-b)),join("","The sum of ",a," and ",b," is ",a+b)]); SignAns=pick(A-B>0,"The answer is negative","The answer is Positive");]]> A-B _err == 0 1 1 {A} - {B} = {_0}]]> {A} is a {SignA} number.
{B} is a {SignB} number.
The sign of {a} and {b} are {SameSigns}. 

{Action}

{Work}

{SignAns}

]]> 3 0.25 0 1 0,["negative","positive"]); SignB=pick(OppSb>0,["negative","positive"]); SameSigns = pick(Sa==OppSb,["different","the same"]); Action=pick(Sa==OppSb,["Take the difference.
Use the sign of the larger number.","Add the numbers
Keep the sign."]); Work=pick(Sa==OppSb,[join("","The difference of ",a," and ",b," is ",abs(a-b)),join("","The sum of ",a," and ",b," is ",a+b)]); SignAns=pick(A-B>0,"The answer is negative","The answer is Positive");]]> A-B _err == 0 1 1 {A} - {B} = {_0}]]> {A} is a {SignA} number.
{B} is a {SignB} number.
The sign of {a} and {b} are {SameSigns}. 

{Action}

{Work}

{SignAns}

]]> $course$/top/Default for MSII/Test #3/L23- Frequency Tables/L23-Intervals Intervals 0-multiple of 10 - 5 groups What are the intervals for data whose scale is {intS} to {intH} if there must be {numInt} intervals?

Title
]]> 5.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. intS={0:100:10}; difHighLow={10,20,30,40,50,60,70,80,100}; intH=intS+difHighLow-1; numInt=5; addNum=difHighLow/numInt-1; abc 0 1 0 2 [intS,intS+addNum] _err == 0 1 1 {_0} - {_1} ]]>

There are {difHighLow} numbers from {intS} to {intH}.

There must be {numInt} intervals.    Divide {difHighLow} by {numInt}.
{difHighLow} ÷ {numInt} = {=addNum+1} 

Each interval must have  {=addNum+1}  numbers.

By adding {=addNum+1}, For example, {intS} +  {=addNum+1} = {=intS+addNum+1}, there are {=addNum+2} numbers in the interval (one too many)

The first number is {intS}, add {addNum} and the interval stops at {=intS+addNum}.


]]> 1 1 0 2 [intS+addNum+1,intS+2*addNum+1] _err == 0 1 1 {_0} - {_1} ]]> The second interval is {=intS+addNum+1} to {=intS+2*addNum+1}.

]]> 2 1 0 2 [intS+2*addNum+2,intS+3*addNum+2] _err == 0 1 1 {_0} - {_1} ]]> The second interval is {=intS+2*addNum+2} to {=intS+3*addNum+2}.

]]> 3 1 0 2 [intS+3*addNum+3,intS+4*addNum+3] _err == 0 1 1 {_0} - {_1} ]]> The second interval is {=intS+3*addNum+3} to {=intS+4*addNum+3}.

]]> 4 1 0 2 [intS+4*addNum+4,intS+5*addNum+4] _err == 0 1 1 {_0} - {_1} ]]> The second interval is {=intS+4*addNum+4} to {=intS+5*addNum+4}.

]]> Intervals 1- multiple of 10 +1 - 5 groups What are the intervals for data whose scale is {intS} to {intH} if there must be {numInt} intervals?

Title
]]> 5.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. intS={1:100:10}; difHighLow={10,20,30,40,50,60,70,80,100}; intH=intS+difHighLow-1; numInt=5; addNum=difHighLow/numInt-1; abc 0 1 0 2 [intS,intS+addNum] _err == 0 1 1 {_0} - {_1} ]]>

There are {difHighLow} numbers from {intS} to {intH}.

There must be {numInt} intervals.    Divide {difHighLow} by {numInt}.
{difHighLow} ÷ {numInt} = {=addNum+1} 

Each interval must have  {=addNum+1}  numbers.

By adding {=addNum+1}, For example, {intS} +  {=addNum+1} = {=intS+addNum+1}, there are {=addNum+2} numbers in the interval (one too many)

The first number is {intS}, add {addNum} and the interval stops at {=intS+addNum}.


]]> 1 1 0 2 [intS+addNum+1,intS+2*addNum+1] _err == 0 1 1 {_0} - {_1} ]]> The second interval is {=intS+addNum+1} to {=intS+2*addNum+1}.

]]> 2 1 0 2 [intS+2*addNum+2,intS+3*addNum+2] _err == 0 1 1 {_0} - {_1} ]]> The second interval is {=intS+2*addNum+2} to {=intS+3*addNum+2}.

]]> 3 1 0 2 [intS+3*addNum+3,intS+4*addNum+3] _err == 0 1 1 {_0} - {_1} ]]> The second interval is {=intS+3*addNum+3} to {=intS+4*addNum+3}.

]]> 4 1 0 2 [intS+4*addNum+4,intS+5*addNum+4] _err == 0 1 1 {_0} - {_1} ]]> The second interval is {=intS+4*addNum+4} to {=intS+5*addNum+4}.

]]> Intervals 1- multiple of 10 +1 (10 groups) What are the intervals for data whose scale is {intS} to {intH} if there must be {numInt} intervals?

Title
]]> 10.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. intS={1:100:10}; difHighLow={10,20,30,40,50,60,70,80,100}; intH=intS+difHighLow-1; numInt=10; addNum=difHighLow/numInt-1; abc 0 1 0 2 [intS,intS+addNum] _err == 0 1 1 {_0} - {_1} ]]>

There are {difHighLow} numbers from {intS} to {intH}.

There must be {numInt} intervals.    Divide {difHighLow} by {numInt}.
{difHighLow} ÷ {numInt} = {=addNum+1} 

Each interval must have  {=addNum+1}  numbers.

By adding {=addNum+1}, For example, {intS} +  {=addNum+1} = {=intS+addNum+1}, there are {=addNum+2} numbers in the interval (one too many)

The first number is {intS}, add {addNum} and the interval stops at {=intS+addNum}.


]]> 1 1 0 2 [intS+addNum+1,intS+2*addNum+1] _err == 0 1 1 {_0} - {_1} ]]> The second interval is {=intS+addNum+1} to {=intS+2*addNum+1}.

]]> 2 1 0 2 [intS+2*addNum+2,intS+3*addNum+2] _err == 0 1 1 {_0} - {_1} ]]> The second interval is {=intS+2*addNum+2} to {=intS+3*addNum+2}.

]]> 3 1 0 2 [intS+3*addNum+3,intS+4*addNum+3] _err == 0 1 1 {_0} - {_1} ]]> The second interval is {=intS+3*addNum+3} to {=intS+4*addNum+3}.

]]> 4 1 0 2 [intS+4*addNum+4,intS+5*addNum+4] _err == 0 1 1 {_0} - {_1} ]]> The second interval is {=intS+4*addNum+4} to {=intS+5*addNum+4}.

]]> 5 1 0 2 [intS+5*addNum+5,intS+6*addNum+5] _err == 0 1 1 {_0} - {_1} ]]> The second interval is {=intS+5*addNum+5} to {=intS+6*addNum+5}.

]]> 6 1 0 2 [intS+6*addNum+6,intS+7*addNum+6] _err == 0 1 1 {_0} - {_1} ]]> The second interval is {=intS+6*addNum+6} to {=intS+7*addNum+6}.

]]> 7 1 0 2 [intS+7*addNum+7,intS+8*addNum+7] _err == 0 1 1 {_0} - {_1} ]]> The second interval is {=intS+7*addNum+7} to {=intS+8*addNum+7}.

]]> 8 1 0 2 [intS+8*addNum+8,intS+9*addNum+8] _err == 0 1 1 {_0} - {_1} ]]> The second interval is {=intS+8*addNum+8} to {=intS+9*addNum+8}.

]]> 9 1 0 2 [intS+9*addNum+9,intS+10*addNum+9] _err == 0 1 1 {_0} - {_1} ]]> The second interval is {=intS+9*addNum+9} to {=intS+10*addNum+9}.

]]> L23- How many numbers in interval ___ How many numbers are in the interval from {low} to {high}?

]]> There are {interval} numbers in the interval from {low} to {high}.

The numbers are {FB}.

]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. low={10:100:10}; interval={2:11:1}; abc 0 1 0 1 interval _err == 0 1 1 $course$/top/Default for MSII/Test #3/L23- Frequency Tables/L23-Tally Marks 3 parts - Tally Marks - up to 55 What number is represented by the following tally marks?]]> 4.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. number1={1:56:1}; number2={1:56:1}; number3={1:56:1}; number4={1:56:1}; abc 0 1 100 1 IIII"; ans=pick(floor(number1/5),ans,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); ans=pick(number1%5,ans,join("",ans," I"),join("",ans," II"),join("",ans," III"),join("",ans," IIII")); FB=""; fivePlus="5+"; FB=pick(floor(number1/5),FB,join("",fivePlus),join("",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus)); FB=pick(number1%5,join("",FB,"0"),join("",FB," 1"),join("",FB," 2"),join("",FB," 3"),join("",FB," 4"));]]> number1 _err == 0 1 1 {ans} = {_0}

]]> {FB}

]]> 1 1 0 1 IIII"; ans=pick(floor(number2/5),ans,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); ans=pick(number2%5,ans,join("",ans," I"),join("",ans," II"),join("",ans," III"),join("",ans," IIII")); FB=""; fivePlus="5+"; FB=pick(floor(number2/5),FB,join("",fivePlus),join("",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus)); FB=pick(number2%5,join("",FB,"0"),join("",FB," 1"),join("",FB," 2"),join("",FB," 3"),join("",FB," 4"));]]> number2 _err == 0 1 1 {ans} = {_0}

]]> {FB}

]]> 2 1 0 1 IIII"; ans=pick(floor(number3/5),ans,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); ans=pick(number3%5,ans,join("",ans," I"),join("",ans," II"),join("",ans," III"),join("",ans," IIII")); FB=""; fivePlus="5+"; FB=pick(floor(number3/5),FB,join("",fivePlus),join("",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus)); FB=pick(number3%5,join("",FB,"0"),join("",FB," 1"),join("",FB," 2"),join("",FB," 3"),join("",FB," 4"));]]> number3 _err == 0 1 1 {ans} = {_0}

]]> {FB}

]]> 3 1 0 1 IIII"; ans=pick(floor(number4/5),ans,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); ans=pick(number4%5,ans,join("",ans," I"),join("",ans," II"),join("",ans," III"),join("",ans," IIII")); FB=""; fivePlus="5+"; FB=pick(floor(number4/5),FB,join("",fivePlus),join("",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus),join("",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus," ",fivePlus)); FB=pick(number4%5,join("",FB,"0"),join("",FB," 1"),join("",FB," 2"),join("",FB," 3"),join("",FB," 4"));]]> number4 _err == 0 1 1 {ans} = {_0}

]]> {FB}

]]> L23- tally marks What number is represented by the following tally marks?]]> 3.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. amount=shuffle([2,3,4,5,6,7,8,9,10,11,12,13,14,15]); IIII"; T6="IIII I"; T7="IIII II"; T8="IIII III"; T9="IIII IIII"; T10="IIII IIII"; T11="IIII IIII I"; T12="IIII IIII II"; T13="IIII IIII III"; T14="IIII IIII IIII"; T15="IIII IIII IIII"; ]]> abc 0 1 0 1 amount[0] _err == 0 1 1 {display} = {_0}]]> 1 1 0 1 amount[1] _err == 0 1 1 {display} = {_0}]]> 2 1 0 1 amount[2] _err == 0 1 1 {display} = {_0}]]> $course$/top/Default for MSII/Test #3/L23- Frequency Tables/L23- Survey-Frequency Tables L23 - Activity(25 students) Organize the dataset by using a frequency table.
{=initial[randChoice[votes[0]]]} {=initial[randChoice[votes[5]]]} {=initial[randChoice[votes[10]]]} {=initial[randChoice[votes[15]]]} {=initial[randChoice[votes[20]]]}
{=initial[randChoice[votes[1]]]} {=initial[randChoice[votes[6]]]} {=initial[randChoice[votes[11]]]} {=initial[randChoice[votes[16]]]} {=initial[randChoice[votes[21]]]}
{=initial[randChoice[votes[2]]]} {=initial[randChoice[votes[7]]]} {=initial[randChoice[votes[12]]]} {=initial[randChoice[votes[17]]]} {=initial[randChoice[votes[22]]]}
{=initial[randChoice[votes[3]]]} {=initial[randChoice[votes[8]]]} {=initial[randChoice[votes[13]]]} {=initial[randChoice[votes[18]]]} {=initial[randChoice[votes[23]]]}
{=initial[randChoice[votes[4]]]} {=initial[randChoice[votes[9]]]} {=initial[randChoice[votes[14]]]} {=initial[randChoice[votes[19]]]} {=initial[randChoice[votes[24]]]}
{title}
 {category} Tally Marks Frequency
{=choice[randChoice[0]]} {#A}
{=choice[randChoice[1]]} {#B}
{=choice[randChoice[2]]} {#C}
{=choice[randChoice[3]]} {#D}
{=choice[randChoice[4]]} {#E}
]]> On your paper the frequency table should look like the following:
{title}
{category} Tally Marks Frequency
{=choice[randChoice[0]]} {T0} {F0}
{=choice[randChoice[1]]} {T1} {F1}
{=choice[randChoice[2]]} {T2} {F2}
{=choice[randChoice[3]]} {T3} {F3}
{=choice[randChoice[4]]} {T4} {F4}
]]> 5.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. randChoice=shuffle([0,1,2,3,4,5,6,7,8,9,10]); votes=shuffle([0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4]); IIII"; fivePlus="5+"; T0=pick(floor(F0/5),T0,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T0=pick(F0%5,T0,join("",T0," I"),join("",T0," II"),join("",T0," III"),join("",T0," IIII")); T1=pick(floor(F1/5),T1,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T1=pick(F1%5,T1,join("",T1," I"),join("",T1," II"),join("",T1," III"),join("",T1," IIII")); T2=pick(floor(F2/5),T2,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T2=pick(F2%5,T2,join("",T2," I"),join("",T2," II"),join("",T2," III"),join("",T2," IIII")); T3=pick(floor(F3/5),T3,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T3=pick(F3%5,T3,join("",T3," I"),join("",T3," II"),join("",T3," III"),join("",T3," IIII")); T4=pick(floor(F4/5),T4,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T4=pick(F4%5,T4,join("",T4," I"),join("",T4," II"),join("",T4," III"),join("",T4," IIII")); ]]> abc 0 #A 1 0 1 F0 _err == 0 1 1 Tally : {T0}

Frequency: {F0}

]]> 1 #B 1 0 1 F1 _err == 0 1 1 Tally : {T1}

Frequency: {F1}

]]> 2 #C 1 0 1 F2 _err == 0 1 1 Tally : {T2}

Frequency: {F2}

]]> 3 #D 1 0 1 F3 _err == 0 1 1 Tally : {T3}

Frequency: {F3}

]]> 4 #E 1 0 1 F4 _err == 0 1 1 Tally : {T4}

Frequency: {F4}

]]> L23 - breakfast (25 students) Organize the dataset by using a frequency table.
{=initial[randChoice[votes[0]]]} {=initial[randChoice[votes[5]]]} {=initial[randChoice[votes[10]]]} {=initial[randChoice[votes[15]]]} {=initial[randChoice[votes[20]]]}
{=initial[randChoice[votes[1]]]} {=initial[randChoice[votes[6]]]} {=initial[randChoice[votes[11]]]} {=initial[randChoice[votes[16]]]} {=initial[randChoice[votes[21]]]}
{=initial[randChoice[votes[2]]]} {=initial[randChoice[votes[7]]]} {=initial[randChoice[votes[12]]]} {=initial[randChoice[votes[17]]]} {=initial[randChoice[votes[22]]]}
{=initial[randChoice[votes[3]]]} {=initial[randChoice[votes[8]]]} {=initial[randChoice[votes[13]]]} {=initial[randChoice[votes[18]]]} {=initial[randChoice[votes[23]]]}
{=initial[randChoice[votes[4]]]} {=initial[randChoice[votes[9]]]} {=initial[randChoice[votes[14]]]} {=initial[randChoice[votes[19]]]} {=initial[randChoice[votes[24]]]}
{title}
 {category} Tally Marks Frequency
{=choice[randChoice[0]]} {#A}
{=choice[randChoice[1]]} {#B}
{=choice[randChoice[2]]} {#C}
{=choice[randChoice[3]]} {#D}
{=choice[randChoice[4]]} {#E}
]]> On your paper the frequency table should look like the following:
{title}
{category} Tally Marks Frequency
{=choice[randChoice[0]]} {T0} {F0}
{=choice[randChoice[1]]} {T1} {F1}
{=choice[randChoice[2]]} {T2} {F2}
{=choice[randChoice[3]]} {T3} {F3}
{=choice[randChoice[4]]} {T4} {F4}
]]> 5.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. randChoice=shuffle([0,1,2,3,4,5,6,7,8,9,10]); votes=shuffle([0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4]); IIII"; fivePlus="5+"; T0=pick(floor(F0/5),T0,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T0=pick(F0%5,T0,join("",T0," I"),join("",T0," II"),join("",T0," III"),join("",T0," IIII")); T1=pick(floor(F1/5),T1,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T1=pick(F1%5,T1,join("",T1," I"),join("",T1," II"),join("",T1," III"),join("",T1," IIII")); T2=pick(floor(F2/5),T2,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T2=pick(F2%5,T2,join("",T2," I"),join("",T2," II"),join("",T2," III"),join("",T2," IIII")); T3=pick(floor(F3/5),T3,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T3=pick(F3%5,T3,join("",T3," I"),join("",T3," II"),join("",T3," III"),join("",T3," IIII")); T4=pick(floor(F4/5),T4,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T4=pick(F4%5,T4,join("",T4," I"),join("",T4," II"),join("",T4," III"),join("",T4," IIII")); ]]> abc 0 #A 1 0 1 F0 _err == 0 1 1 Tally : {T0}

Frequency: {F0}

]]> 1 #B 1 0 1 F1 _err == 0 1 1 Tally : {T1}

Frequency: {F1}

]]> 2 #C 1 0 1 F2 _err == 0 1 1 Tally : {T2}

Frequency: {F2}

]]> 3 #D 1 0 1 F3 _err == 0 1 1 Tally : {T3}

Frequency: {F3}

]]> 4 #E 1 0 1 F4 _err == 0 1 1 Tally : {T4}

Frequency: {F4}

]]> L23 - color(25 students) Organize the dataset by using a frequency table.
{=initial[randChoice[votes[0]]]} {=initial[randChoice[votes[5]]]} {=initial[randChoice[votes[10]]]} {=initial[randChoice[votes[15]]]} {=initial[randChoice[votes[20]]]}
{=initial[randChoice[votes[1]]]} {=initial[randChoice[votes[6]]]} {=initial[randChoice[votes[11]]]} {=initial[randChoice[votes[16]]]} {=initial[randChoice[votes[21]]]}
{=initial[randChoice[votes[2]]]} {=initial[randChoice[votes[7]]]} {=initial[randChoice[votes[12]]]} {=initial[randChoice[votes[17]]]} {=initial[randChoice[votes[22]]]}
{=initial[randChoice[votes[3]]]} {=initial[randChoice[votes[8]]]} {=initial[randChoice[votes[13]]]} {=initial[randChoice[votes[18]]]} {=initial[randChoice[votes[23]]]}
{=initial[randChoice[votes[4]]]} {=initial[randChoice[votes[9]]]} {=initial[randChoice[votes[14]]]} {=initial[randChoice[votes[19]]]} {=initial[randChoice[votes[24]]]}
{title}
 {category} Tally Marks Frequency
{=choice[randChoice[0]]} {#A}
{=choice[randChoice[1]]} {#B}
{=choice[randChoice[2]]} {#C}
{=choice[randChoice[3]]} {#D}
{=choice[randChoice[4]]} {#E}
]]> On your paper the frequency table should look like the following:
{title}
{category} Tally Marks Frequency
{=choice[randChoice[0]]} {T0} {F0}
{=choice[randChoice[1]]} {T1} {F1}
{=choice[randChoice[2]]} {T2} {F2}
{=choice[randChoice[3]]} {T3} {F3}
{=choice[randChoice[4]]} {T4} {F4}
]]> 5.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. randChoice=shuffle([0,1,2,3,4,5,6,7,8,9,10]); votes=shuffle([0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4]); IIII"; fivePlus="5+"; T0=pick(floor(F0/5),T0,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T0=pick(F0%5,T0,join("",T0," I"),join("",T0," II"),join("",T0," III"),join("",T0," IIII")); T1=pick(floor(F1/5),T1,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T1=pick(F1%5,T1,join("",T1," I"),join("",T1," II"),join("",T1," III"),join("",T1," IIII")); T2=pick(floor(F2/5),T2,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T2=pick(F2%5,T2,join("",T2," I"),join("",T2," II"),join("",T2," III"),join("",T2," IIII")); T3=pick(floor(F3/5),T3,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T3=pick(F3%5,T3,join("",T3," I"),join("",T3," II"),join("",T3," III"),join("",T3," IIII")); T4=pick(floor(F4/5),T4,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T4=pick(F4%5,T4,join("",T4," I"),join("",T4," II"),join("",T4," III"),join("",T4," IIII")); ]]> abc 0 #A 1 0 1 F0 _err == 0 1 1 Tally : {T0}

Frequency: {F0}

]]> 1 #B 1 0 1 F1 _err == 0 1 1 Tally : {T1}

Frequency: {F1}

]]> 2 #C 1 0 1 F2 _err == 0 1 1 Tally : {T2}

Frequency: {F2}

]]> 3 #D 1 0 1 F3 _err == 0 1 1 Tally : {T3}

Frequency: {F3}

]]> 4 #E 1 0 1 F4 _err == 0 1 1 Tally : {T4}

Frequency: {F4}

]]> L23 - color(25 students) Organize the dataset by using a frequency table.
{=initial[randChoice[votes[0]]]} {=initial[randChoice[votes[5]]]} {=initial[randChoice[votes[10]]]} {=initial[randChoice[votes[15]]]} {=initial[randChoice[votes[20]]]}
{=initial[randChoice[votes[1]]]} {=initial[randChoice[votes[6]]]} {=initial[randChoice[votes[11]]]} {=initial[randChoice[votes[16]]]} {=initial[randChoice[votes[21]]]}
{=initial[randChoice[votes[2]]]} {=initial[randChoice[votes[7]]]} {=initial[randChoice[votes[12]]]} {=initial[randChoice[votes[17]]]} {=initial[randChoice[votes[22]]]}
{=initial[randChoice[votes[3]]]} {=initial[randChoice[votes[8]]]} {=initial[randChoice[votes[13]]]} {=initial[randChoice[votes[18]]]} {=initial[randChoice[votes[23]]]}
{=initial[randChoice[votes[4]]]} {=initial[randChoice[votes[9]]]} {=initial[randChoice[votes[14]]]} {=initial[randChoice[votes[19]]]} {=initial[randChoice[votes[24]]]}
{title}
 {category} Tally Marks Frequency
{=choice[randChoice[0]]} {#A}
{=choice[randChoice[1]]} {#B}
{=choice[randChoice[2]]} {#C}
{=choice[randChoice[3]]} {#D}
{=choice[randChoice[4]]} {#E}
]]> On your paper the frequency table should look like the following:
{title}
{category} Tally Marks Frequency
{=choice[randChoice[0]]} {T0} {F0}
{=choice[randChoice[1]]} {T1} {F1}
{=choice[randChoice[2]]} {T2} {F2}
{=choice[randChoice[3]]} {T3} {F3}
{=choice[randChoice[4]]} {T4} {F4}
]]> 5.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. randChoice=shuffle([0,1,2,3,4,5,6,7,8,9,10]); votes=shuffle([0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4]); IIII"; fivePlus="5+"; T0=pick(floor(F0/5),T0,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T0=pick(F0%5,T0,join("",T0," I"),join("",T0," II"),join("",T0," III"),join("",T0," IIII")); T1=pick(floor(F1/5),T1,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T1=pick(F1%5,T1,join("",T1," I"),join("",T1," II"),join("",T1," III"),join("",T1," IIII")); T2=pick(floor(F2/5),T2,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T2=pick(F2%5,T2,join("",T2," I"),join("",T2," II"),join("",T2," III"),join("",T2," IIII")); T3=pick(floor(F3/5),T3,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T3=pick(F3%5,T3,join("",T3," I"),join("",T3," II"),join("",T3," III"),join("",T3," IIII")); T4=pick(floor(F4/5),T4,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T4=pick(F4%5,T4,join("",T4," I"),join("",T4," II"),join("",T4," III"),join("",T4," IIII")); ]]> abc 0 #A 1 0 1 F0 _err == 0 1 1 Tally : {T0}

Frequency: {F0}

]]> 1 #B 1 0 1 F1 _err == 0 1 1 Tally : {T1}

Frequency: {F1}

]]> 2 #C 1 0 1 F2 _err == 0 1 1 Tally : {T2}

Frequency: {F2}

]]> 3 #D 1 0 1 F3 _err == 0 1 1 Tally : {T3}

Frequency: {F3}

]]> 4 #E 1 0 1 F4 _err == 0 1 1 Tally : {T4}

Frequency: {F4}

]]> L23 - Pizza Topping(25 students) Organize the dataset by using a frequency table.
{=initial[randChoice[votes[0]]]} {=initial[randChoice[votes[5]]]} {=initial[randChoice[votes[10]]]} {=initial[randChoice[votes[15]]]} {=initial[randChoice[votes[20]]]}
{=initial[randChoice[votes[1]]]} {=initial[randChoice[votes[6]]]} {=initial[randChoice[votes[11]]]} {=initial[randChoice[votes[16]]]} {=initial[randChoice[votes[21]]]}
{=initial[randChoice[votes[2]]]} {=initial[randChoice[votes[7]]]} {=initial[randChoice[votes[12]]]} {=initial[randChoice[votes[17]]]} {=initial[randChoice[votes[22]]]}
{=initial[randChoice[votes[3]]]} {=initial[randChoice[votes[8]]]} {=initial[randChoice[votes[13]]]} {=initial[randChoice[votes[18]]]} {=initial[randChoice[votes[23]]]}
{=initial[randChoice[votes[4]]]} {=initial[randChoice[votes[9]]]} {=initial[randChoice[votes[14]]]} {=initial[randChoice[votes[19]]]} {=initial[randChoice[votes[24]]]}
{title}
 {category} Tally Marks Frequency
{=choice[randChoice[0]]} {#A}
{=choice[randChoice[1]]} {#B}
{=choice[randChoice[2]]} {#C}
{=choice[randChoice[3]]} {#D}
{=choice[randChoice[4]]} {#E}
]]> On your paper the frequency table should look like the following:
{title}
{category} Tally Marks Frequency
{=choice[randChoice[0]]} {T0} {F0}
{=choice[randChoice[1]]} {T1} {F1}
{=choice[randChoice[2]]} {T2} {F2}
{=choice[randChoice[3]]} {T3} {F3}
{=choice[randChoice[4]]} {T4} {F4}
]]> 5.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. randChoice=shuffle([0,1,2,3,4,5,6,7,8,9,10]); votes=shuffle([0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4]); IIII"; fivePlus="5+"; T0=pick(floor(F0/5),T0,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T0=pick(F0%5,T0,join("",T0," I"),join("",T0," II"),join("",T0," III"),join("",T0," IIII")); T1=pick(floor(F1/5),T1,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T1=pick(F1%5,T1,join("",T1," I"),join("",T1," II"),join("",T1," III"),join("",T1," IIII")); T2=pick(floor(F2/5),T2,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T2=pick(F2%5,T2,join("",T2," I"),join("",T2," II"),join("",T2," III"),join("",T2," IIII")); T3=pick(floor(F3/5),T3,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T3=pick(F3%5,T3,join("",T3," I"),join("",T3," II"),join("",T3," III"),join("",T3," IIII")); T4=pick(floor(F4/5),T4,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T4=pick(F4%5,T4,join("",T4," I"),join("",T4," II"),join("",T4," III"),join("",T4," IIII")); ]]> abc 0 #A 1 0 1 F0 _err == 0 1 1 Tally : {T0}

Frequency: {F0}

]]> 1 #B 1 0 1 F1 _err == 0 1 1 Tally : {T1}

Frequency: {F1}

]]> 2 #C 1 0 1 F2 _err == 0 1 1 Tally : {T2}

Frequency: {F2}

]]> 3 #D 1 0 1 F3 _err == 0 1 1 Tally : {T3}

Frequency: {F3}

]]> 4 #E 1 0 1 F4 _err == 0 1 1 Tally : {T4}

Frequency: {F4}

]]> L23 - Sports (25 students) Organize the dataset by using a frequency table.
{=initial[randChoice[votes[0]]]} {=initial[randChoice[votes[5]]]} {=initial[randChoice[votes[10]]]} {=initial[randChoice[votes[15]]]} {=initial[randChoice[votes[20]]]}
{=initial[randChoice[votes[1]]]} {=initial[randChoice[votes[6]]]} {=initial[randChoice[votes[11]]]} {=initial[randChoice[votes[16]]]} {=initial[randChoice[votes[21]]]}
{=initial[randChoice[votes[2]]]} {=initial[randChoice[votes[7]]]} {=initial[randChoice[votes[12]]]} {=initial[randChoice[votes[17]]]} {=initial[randChoice[votes[22]]]}
{=initial[randChoice[votes[3]]]} {=initial[randChoice[votes[8]]]} {=initial[randChoice[votes[13]]]} {=initial[randChoice[votes[18]]]} {=initial[randChoice[votes[23]]]}
{=initial[randChoice[votes[4]]]} {=initial[randChoice[votes[9]]]} {=initial[randChoice[votes[14]]]} {=initial[randChoice[votes[19]]]} {=initial[randChoice[votes[24]]]}
Students Favorite Sport
         Sport            Tally Marks Frequency
{=choice[randChoice[0]]} {#A}
{=choice[randChoice[1]]} {#B}
{=choice[randChoice[2]]} {#C}
{=choice[randChoice[3]]} {#D}
{=choice[randChoice[4]]} {#E}
]]> On your paper the frequency table should look like the following:
Students Favorite Sport
         Sport            Tally Marks Frequency
{=choice[randChoice[0]]} {T0} {F0}
{=choice[randChoice[1]]} {T1} {F1}
{=choice[randChoice[2]]} {T2} {F2}
{=choice[randChoice[3]]} {T3} {F3}
{=choice[randChoice[4]]} {T4} {F4}
]]> 5.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. randChoice=shuffle([0,1,2,3,4,5,6,7,8,9,10]); votes=shuffle([0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4]); IIII"; fivePlus="5+"; T0=pick(floor(F0/5),T0,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T0=pick(F0%5,T0,join("",T0," I"),join("",T0," II"),join("",T0," III"),join("",T0," IIII")); T1=pick(floor(F1/5),T1,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T1=pick(F1%5,T1,join("",T1," I"),join("",T1," II"),join("",T1," III"),join("",T1," IIII")); T2=pick(floor(F2/5),T2,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T2=pick(F2%5,T2,join("",T2," I"),join("",T2," II"),join("",T2," III"),join("",T2," IIII")); T3=pick(floor(F3/5),T3,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T3=pick(F3%5,T3,join("",T3," I"),join("",T3," II"),join("",T3," III"),join("",T3," IIII")); T4=pick(floor(F4/5),T4,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T4=pick(F4%5,T4,join("",T4," I"),join("",T4," II"),join("",T4," III"),join("",T4," IIII")); ]]> abc 0 #A 1 0 1 F0 _err == 0 1 1 Tally : {T0}

Frequency: {F0}

]]> 1 #B 1 0 1 F1 _err == 0 1 1 Tally : {T1}

Frequency: {F1}

]]> 2 #C 1 0 1 F2 _err == 0 1 1 Tally : {T2}

Frequency: {F2}

]]> 3 #D 1 0 1 F3 _err == 0 1 1 Tally : {T3}

Frequency: {F3}

]]> 4 #E 1 0 1 F4 _err == 0 1 1 Tally : {T4}

Frequency: {F4}

]]> L23 - subject(25 students) Organize the dataset by using a frequency table.
{=initial[randChoice[votes[0]]]} {=initial[randChoice[votes[5]]]} {=initial[randChoice[votes[10]]]} {=initial[randChoice[votes[15]]]} {=initial[randChoice[votes[20]]]}
{=initial[randChoice[votes[1]]]} {=initial[randChoice[votes[6]]]} {=initial[randChoice[votes[11]]]} {=initial[randChoice[votes[16]]]} {=initial[randChoice[votes[21]]]}
{=initial[randChoice[votes[2]]]} {=initial[randChoice[votes[7]]]} {=initial[randChoice[votes[12]]]} {=initial[randChoice[votes[17]]]} {=initial[randChoice[votes[22]]]}
{=initial[randChoice[votes[3]]]} {=initial[randChoice[votes[8]]]} {=initial[randChoice[votes[13]]]} {=initial[randChoice[votes[18]]]} {=initial[randChoice[votes[23]]]}
{=initial[randChoice[votes[4]]]} {=initial[randChoice[votes[9]]]} {=initial[randChoice[votes[14]]]} {=initial[randChoice[votes[19]]]} {=initial[randChoice[votes[24]]]}
{title}
 {category} Tally Marks Frequency
{=choice[randChoice[0]]} {#A}
{=choice[randChoice[1]]} {#B}
{=choice[randChoice[2]]} {#C}
{=choice[randChoice[3]]} {#D}
{=choice[randChoice[4]]} {#E}
]]> On your paper the frequency table should look like the following:
{title}
{category} Tally Marks Frequency
{=choice[randChoice[0]]} {T0} {F0}
{=choice[randChoice[1]]} {T1} {F1}
{=choice[randChoice[2]]} {T2} {F2}
{=choice[randChoice[3]]} {T3} {F3}
{=choice[randChoice[4]]} {T4} {F4}
]]> 5.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. randChoice=shuffle([0,1,2,3,4,5,6,7,8,9,10]); votes=shuffle([0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4,0,1,2,3,4]); IIII"; fivePlus="5+"; T0=pick(floor(F0/5),T0,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T0=pick(F0%5,T0,join("",T0," I"),join("",T0," II"),join("",T0," III"),join("",T0," IIII")); T1=pick(floor(F1/5),T1,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T1=pick(F1%5,T1,join("",T1," I"),join("",T1," II"),join("",T1," III"),join("",T1," IIII")); T2=pick(floor(F2/5),T2,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T2=pick(F2%5,T2,join("",T2," I"),join("",T2," II"),join("",T2," III"),join("",T2," IIII")); T3=pick(floor(F3/5),T3,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T3=pick(F3%5,T3,join("",T3," I"),join("",T3," II"),join("",T3," III"),join("",T3," IIII")); T4=pick(floor(F4/5),T4,join("",five),join("",five," ",five),join("",five," ",five," ",five),join("",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five),join("",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five," ",five)); T4=pick(F4%5,T4,join("",T4," I"),join("",T4," II"),join("",T4," III"),join("",T4," IIII")); ]]> abc 0 #A 1 0 1 F0 _err == 0 1 1 Tally : {T0}

Frequency: {F0}

]]> 1 #B 1 0 1 F1 _err == 0 1 1 Tally : {T1}

Frequency: {F1}

]]> 2 #C 1 0 1 F2 _err == 0 1 1 Tally : {T2}

Frequency: {F2}

]]> 3 #D 1 0 1 F3 _err == 0 1 1 Tally : {T3}

Frequency: {F3}

]]> 4 #E 1 0 1 F4 _err == 0 1 1 Tally : {T4}

Frequency: {F4}

]]> $course$/top/Default for MSII/Test #3/L24- Subtracting Integers/L24- Algebraic Expressions with Integers - one operation L24 - Add algebraic Exp Integers Evaluate each expression for 

{var1} = {=sign1*num1}, {var2} = {=sign2*num2}, and {var3} = {=sign3*num3} 

]]> 4.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. abc 0 1 0 1 part=0; ans[randEqu[part]] _err == 0 1 1

{=equ[randEqu[part]]}={_0}

]]> {=FB[randEqu[part]]}
{=ans[randEqu[part]]}
]]> 1 1 0 1 part=1; ans[randEqu[part]] _err == 0 1 1

{=equ[randEqu[part]]}={_0}

]]> {=FB[randEqu[part]]}
{=ans[randEqu[part]]}
]]> 2 1 0 1 part=2; ans[randEqu[part]] _err == 0 1 1

{=equ[randEqu[part]]}={_0}

]]> {=FB[randEqu[part]]}
{=ans[randEqu[part]]}
]]> 3 1 0 1 part=3; ans[randEqu[part]] _err == 0 1 1

{=equ[randEqu[part]]}={_0}

]]> {=FB[randEqu[part]]}
{=ans[randEqu[part]]}
]]> L24 - Add algebraic Exp Integers Evaluate each expression for 

{var1} = {=sign1*num1}, {var2} = {=sign2*num2}, and {var3} = {=sign3*num3} 

]]> 4.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. abc 0 1 0 1 part=0; ans[randEqu[part]] _err == 0 1 1

{=equ[randEqu[part]]}={_0}

]]> {=FB[randEqu[part]]}
{=ans[randEqu[part]]}
]]> 1 1 0 1 part=1; ans[randEqu[part]] _err == 0 1 1

{=equ[randEqu[part]]}={_0}

]]> {=FB[randEqu[part]]}
{=ans[randEqu[part]]}
]]> 2 1 0 1 part=2; ans[randEqu[part]] _err == 0 1 1

{=equ[randEqu[part]]}={_0}

]]> {=FB[randEqu[part]]}
{=ans[randEqu[part]]}
]]> 3 1 0 1 part=3; ans[randEqu[part]] _err == 0 1 1

{=equ[randEqu[part]]}={_0}

]]> {=FB[randEqu[part]]}
{=ans[randEqu[part]]}
]]> $course$/top/Default for MSII/Test #3/L24- Subtracting Integers/L24- Integer word problems L24- High-Low Temperatures The record low temperature in {state} is {low} degrees. The record high is {high} degrees.  What is the range of record temperatures in {state}? ]]> Low Temperature: {low}

Range:  High - Low
{high} - {low} 
{FB}
{range}
]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. rand={0:31:1} abc 0 1 0 1 range _err == 0 1 1 The range of record temperatures is {_0} degrees.

]]> L24- Roller Coaster A rollercoaster starts at {start} feet above ground level.  It's first descent is {descent} feet.  What is the height of the coaster after the first descent? ]]> var board = JXG.JSXGraph.initBoard(BOARDID,{ axis:false,grid:false, boundingbox: [0,6,6,0], showCopyright: false, showNavigation: false }); var im = board.create('image', ['https://hshonorroll.com/graphics4Class/rollerCoasterRange.jpg', [0,0], [6,6]],{fixed:true}); var tstart=board.create('text',[0.25,4.5,"{start} feet"],{fontsize:20,fixed:true}); var tdescent=board.create('text',[0.45,2.21,"{descent} feet"],{fontsize:15,anchorX:'center',color:'red',fixed:true}); Starting Height: {start}
First Descent: {descent}
{start} - {descent} = {low} ]]> 1.0000000 0.3333333 0 Your answer is correct. Your answer is partially correct. Your answer is incorrect. descent={20:250:1}; low={-20:40:1}; start=low+descent; abc 0 1 0 1 low _err == 0 1 1 {_0} feet

]]>