Algebra, NAPX-F4-CA29 SA 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
Variant 0 DifficultyLevel 702
Question
The mass of a trout fish is 16.9 kilograms.
Its length is 1.24 metres.
A rule that can be used to approximately predict the length of a trout from its mass is
l \large l l = m 10 \sqrt{ \dfrac{m}{10}} 1 0 m
where l \large l l is the length of the trout in metres and m \large m m is the mass in kilograms.
What is the difference in centimetres between the trout's actual length and the length predicted by the rule?
Worked Solution
Actual length = 1.24 m = 124 cm
Predicted length
= 16.9 10 \sqrt{\dfrac{16.9}{10}} 1 0 1 6 . 9
= 1.69 \sqrt{1.69} 1 . 6 9
= 1.3 m
= 130 cm
∴ \therefore ∴ Difference
= 130 − - − 124
= 6 cm
Question Type Answer Box
Variables Variable name Variable value question The mass of a trout fish is 16.9 kilograms.
Its length is 1.24 metres.
sm_img https://teacher.smartermaths.com.au/wp-content/uploads/2018/07/NAPX-F4-CA29-SA_1.svg 330 indent3 vpad
A rule that can be used to approximately predict the length of a trout from its mass is
>>$\large l$ = $\sqrt{ \dfrac{m}{10}}$
where $\large l$ is the length of the trout in metres and $\large m$ is the mass in kilograms.
What is the difference in centimetres between the trout's actual length and the length predicted by the rule?
workedSolution Actual length = 1.24 m = 124 cm
Predicted length
>> = $\sqrt{\dfrac{16.9}{10}}$
>> = $\sqrt{1.69}$
>>= 1.3 m
>>= 130 cm
| | |
| ------------: | ---------- |
| $\therefore$ Difference | \= 130 $-$ 124 |
| | \= {{{correctAnswer0}}} {{{suffix0}}} |
correctAnswer0 prefix0 suffix0
Answers Specify one or more 'ANSWER' block(s) as exampled below. Note: correctAnswer is required, the rest are optional. ("correctAnswer" is what the student would need to type in to the box to get the answer correct.)
For example: correctAnswer: 123.40 And optionally, specify the following, but only if you need something different to the defaults: 'width' defaults to 5 if not present, and valid values are 3 to 10; 'prefix' and 'suffix' default to nothing if not present. prefix: $ suffix: mm$^2$ width: 5
correctAnswerN correctAnswerValue Answer correctAnswer0 6
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
Variant 1 DifficultyLevel 702
Question
The mass of a trout fish is 12.1 kilograms.
Its length is 1.05 metres.
A rule that can be used to approximately predict the length of a trout from its mass is
l \large l l = m 10 \sqrt{ \dfrac{m}{10}} 1 0 m
where l \large l l is the length of the trout in metres and m \large m m is the mass in kilograms.
What is the difference in centimetres between the trout's actual length and the length predicted by the rule?
Worked Solution
Actual length = 1.05 m = 105 cm
Predicted length
= 12.1 10 \sqrt{\dfrac{12.1}{10}} 1 0 1 2 . 1
= 1.21 \sqrt{1.21} 1 . 2 1
= 1.1 m
= 110 cm
∴ \therefore ∴ Difference
= 110 − - − 105
= 5 cm
Question Type Answer Box
Variables Variable name Variable value question The mass of a trout fish is 12.1 kilograms.
Its length is 1.05 metres.
sm_img https://teacher.smartermaths.com.au/wp-content/uploads/2022/08/NAPX-F4-CA29-SA_var1.svg 330 indent3 vpad
A rule that can be used to approximately predict the length of a trout from its mass is
>>$\large l$ = $\sqrt{ \dfrac{m}{10}}$
where $\large l$ is the length of the trout in metres and $\large m$ is the mass in kilograms.
What is the difference in centimetres between the trout's actual length and the length predicted by the rule?
workedSolution Actual length = 1.05 m = 105 cm
Predicted length
>> = $\sqrt{\dfrac{12.1}{10}}$
>> = $\sqrt{1.21}$
>>= 1.1 m
>>= 110 cm
| | |
| ------------: | ---------- |
| $\therefore$ Difference | \= 110 $-$ 105 |
| | \= {{{correctAnswer0}}} {{{suffix0}}} |
correctAnswer0 prefix0 suffix0
Answers Specify one or more 'ANSWER' block(s) as exampled below. Note: correctAnswer is required, the rest are optional. ("correctAnswer" is what the student would need to type in to the box to get the answer correct.)
For example: correctAnswer: 123.40 And optionally, specify the following, but only if you need something different to the defaults: 'width' defaults to 5 if not present, and valid values are 3 to 10; 'prefix' and 'suffix' default to nothing if not present. prefix: $ suffix: mm$^2$ width: 5
correctAnswerN correctAnswerValue Answer correctAnswer0 5
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
Variant 2 DifficultyLevel 702
Question
The mass of a trout fish is 6.4 kilograms.
Its length is 0.87 metres.
A rule that can be used to approximately predict the length of a trout from its mass is
l \large l l = m 10 \sqrt{ \dfrac{m}{10}} 1 0 m
where l \large l l is the length of the trout in metres and m \large m m is the mass in kilograms.
What is the difference in centimetres between the trout's actual length and the length predicted by the rule?
Worked Solution
Actual length = 0.87 m = 87 cm
Predicted length
= 6.4 10 \sqrt{\dfrac{6.4}{10}} 1 0 6 . 4
= 0.64 \sqrt{0.64} 0 . 6 4
= 0.80 m
= 80 cm
∴ \therefore ∴ Difference
= 87 − - − 80
= 7 cm
Question Type Answer Box
Variables Variable name Variable value question The mass of a trout fish is 6.4 kilograms.
Its length is 0.87 metres.
sm_img https://teacher.smartermaths.com.au/wp-content/uploads/2022/08/NAPX-F4-CA29-SA_var2.svg 330 indent3 vpad
A rule that can be used to approximately predict the length of a trout from its mass is
>>$\large l$ = $\sqrt{ \dfrac{m}{10}}$
where $\large l$ is the length of the trout in metres and $\large m$ is the mass in kilograms.
What is the difference in centimetres between the trout's actual length and the length predicted by the rule?
workedSolution Actual length = 0.87 m = 87 cm
Predicted length
>> = $\sqrt{\dfrac{6.4}{10}}$
>> = $\sqrt{0.64}$
>>= 0.80 m
>>= 80 cm
| | |
| ------------: | ---------- |
| $\therefore$ Difference | \= 87 $-$ 80 |
| | \= {{{correctAnswer0}}} {{{suffix0}}} |
correctAnswer0 prefix0 suffix0
Answers Specify one or more 'ANSWER' block(s) as exampled below. Note: correctAnswer is required, the rest are optional. ("correctAnswer" is what the student would need to type in to the box to get the answer correct.)
For example: correctAnswer: 123.40 And optionally, specify the following, but only if you need something different to the defaults: 'width' defaults to 5 if not present, and valid values are 3 to 10; 'prefix' and 'suffix' default to nothing if not present. prefix: $ suffix: mm$^2$ width: 5
correctAnswerN correctAnswerValue Answer correctAnswer0 7
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
Variant 3 DifficultyLevel 702
Question
The mass of a trout fish is 14.4 kilograms.
Its length is 1.18 metres.
A rule that can be used to approximately predict the length of a trout from its mass is
l \large l l = m 10 \sqrt{ \dfrac{m}{10}} 1 0 m
where l \large l l is the length of the trout in metres and m \large m m is the mass in kilograms.
What is the difference in centimetres between the trout's actual length and the length predicted by the rule?
Worked Solution
Actual length = 1.18 m = 118 cm
Predicted length
= 14.4 10 \sqrt{\dfrac{14.4}{10}} 1 0 1 4 . 4
= 1.44 \sqrt{1.44} 1 . 4 4
= 1.20 m
= 120 cm
∴ \therefore ∴ Difference
= 120 − - − 118
= 2 cm
Question Type Answer Box
Variables Variable name Variable value question The mass of a trout fish is 14.4 kilograms.
Its length is 1.18 metres.
sm_img https://teacher.smartermaths.com.au/wp-content/uploads/2022/08/NAPX-F4-CA29-SA_var3.svg 330 indent3 vpad
A rule that can be used to approximately predict the length of a trout from its mass is
>>$\large l$ = $\sqrt{ \dfrac{m}{10}}$
where $\large l$ is the length of the trout in metres and $\large m$ is the mass in kilograms.
What is the difference in centimetres between the trout's actual length and the length predicted by the rule?
workedSolution Actual length = 1.18 m = 118 cm
Predicted length
>> = $\sqrt{\dfrac{14.4}{10}}$
>> = $\sqrt{1.44}$
>>= 1.20 m
>>= 120 cm
| | |
| ------------: | ---------- |
| $\therefore$ Difference | \= 120 $-$ 118 |
| | \= {{{correctAnswer0}}} {{{suffix0}}} |
correctAnswer0 prefix0 suffix0
Answers Specify one or more 'ANSWER' block(s) as exampled below. Note: correctAnswer is required, the rest are optional. ("correctAnswer" is what the student would need to type in to the box to get the answer correct.)
For example: correctAnswer: 123.40 And optionally, specify the following, but only if you need something different to the defaults: 'width' defaults to 5 if not present, and valid values are 3 to 10; 'prefix' and 'suffix' default to nothing if not present. prefix: $ suffix: mm$^2$ width: 5
correctAnswerN correctAnswerValue Answer correctAnswer0 2
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
Variant 4 DifficultyLevel 705
Question
The mass of a trout fish is 8.1 kilograms.
Its length is 0.87 metres.
A rule that can be used to approximately predict the length of a trout from its mass is
l \large l l = m 10 \sqrt{ \dfrac{m}{10}} 1 0 m
where l \large l l is the length of the trout in metres and m \large m m is the mass in kilograms.
What is the difference in centimetres between the trout's actual length and the length predicted by the rule?
Worked Solution
Actual length = 0.87 m = 87 cm
Predicted length
= 8.1 10 \sqrt{\dfrac{8.1}{10}} 1 0 8 . 1
= 0.81 \sqrt{0.81} 0 . 8 1
= 0.90 m
= 90 cm
∴ \therefore ∴ Difference
= 90 − - − 87
= 3 cm
Question Type Answer Box
Variables Variable name Variable value question The mass of a trout fish is 8.1 kilograms.
Its length is 0.87 metres.
sm_img https://teacher.smartermaths.com.au/wp-content/uploads/2022/08/NAPX-F4-CA29-SA_var4.svg 330 indent3 vpad
A rule that can be used to approximately predict the length of a trout from its mass is
>>$\large l$ = $\sqrt{ \dfrac{m}{10}}$
where $\large l$ is the length of the trout in metres and $\large m$ is the mass in kilograms.
What is the difference in centimetres between the trout's actual length and the length predicted by the rule?
workedSolution Actual length = 0.87 m = 87 cm
Predicted length
>> = $\sqrt{\dfrac{8.1}{10}}$
>> = $\sqrt{0.81}$
>>= 0.90 m
>>= 90 cm
| | |
| ------------: | ---------- |
| $\therefore$ Difference | \= 90 $-$ 87 |
| | \= {{{correctAnswer0}}} {{{suffix0}}} |
correctAnswer0 prefix0 suffix0
Answers Specify one or more 'ANSWER' block(s) as exampled below. Note: correctAnswer is required, the rest are optional. ("correctAnswer" is what the student would need to type in to the box to get the answer correct.)
For example: correctAnswer: 123.40 And optionally, specify the following, but only if you need something different to the defaults: 'width' defaults to 5 if not present, and valid values are 3 to 10; 'prefix' and 'suffix' default to nothing if not present. prefix: $ suffix: mm$^2$ width: 5
correctAnswerN correctAnswerValue Answer correctAnswer0 3
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
Variant 5 DifficultyLevel 705
Question
The mass of a trout fish is 4.9 kilograms.
Its length is 0.64 metres.
A rule that can be used to approximately predict the length of a trout from its mass is
l \large l l = m 10 \sqrt{ \dfrac{m}{10}} 1 0 m
where l \large l l is the length of the trout in metres and m \large m m is the mass in kilograms.
What is the difference in centimetres between the trout's actual length and the length predicted by the rule?
Worked Solution
Actual length = 0.64 m = 64 cm
Predicted length
= 4.9 10 \sqrt{\dfrac{4.9}{10}} 1 0 4 . 9
= 0.49 \sqrt{0.49} 0 . 4 9
= 0.70 m
= 70 cm
∴ \therefore ∴ Difference
= 70 − - − 64
= 6 cm
Question Type Answer Box
Variables Variable name Variable value question The mass of a trout fish is 4.9 kilograms.
Its length is 0.64 metres.
sm_img https://teacher.smartermaths.com.au/wp-content/uploads/2022/08/NAPX-F4-CA29-SA_var5.svg 330 indent3 vpad
A rule that can be used to approximately predict the length of a trout from its mass is
>>$\large l$ = $\sqrt{ \dfrac{m}{10}}$
where $\large l$ is the length of the trout in metres and $\large m$ is the mass in kilograms.
What is the difference in centimetres between the trout's actual length and the length predicted by the rule?
workedSolution Actual length = 0.64 m = 64 cm
Predicted length
>> = $\sqrt{\dfrac{4.9}{10}}$
>> = $\sqrt{0.49}$
>>= 0.70 m
>>= 70 cm
| | |
| ------------: | ---------- |
| $\therefore$ Difference | \= 70 $-$ 64 |
| | \= {{{correctAnswer0}}} {{{suffix0}}} |
correctAnswer0 prefix0 suffix0
Answers Specify one or more 'ANSWER' block(s) as exampled below. Note: correctAnswer is required, the rest are optional. ("correctAnswer" is what the student would need to type in to the box to get the answer correct.)
For example: correctAnswer: 123.40 And optionally, specify the following, but only if you need something different to the defaults: 'width' defaults to 5 if not present, and valid values are 3 to 10; 'prefix' and 'suffix' default to nothing if not present. prefix: $ suffix: mm$^2$ width: 5
correctAnswerN correctAnswerValue Answer correctAnswer0 6