Measurement, NAPX-F4-CA32 SA
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
Variant 0
DifficultyLevel
790
Question
An ancient civilisation created the following pattern in a large square field.
What is the size of the shaded area in the pattern?
Worked Solution
Total area of the largest square
|
| = 80 × 80 |
| = 6400 m2 |
Area of next smallest square
= 3200 m2
Area of next smallest square = 1600 m2
|
|
| ∴ Shaded area |
= 43× 1600 |
|
= 1200 m2 |
Question Type
Answer Box
Variables
| Variable name | Variable value |
| question | An ancient civilisation created the following pattern in a large square field.
sm_img https://teacher.smartermaths.com.au/wp-content/uploads/2018/06/NAPX-F4-CA32-SA.svg 300 indent3 vpad
What is the size of the shaded area in the pattern? |
| workedSolution | sm_nogap Total area of the largest square
>>||
|-|
|= 80 $\times$ 80|
|= 6400 m$^2$|
Area of next smallest square
= 3200 m$^2$
Area of next smallest square = 1600 m$^2$
|||
|-|-|
|$\therefore$ Shaded area|= $\dfrac{3}{4}\times$ 1600|
||= {{{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 | 1200 | |
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
Variant 1
DifficultyLevel
793
Question
An ancient civilisation created the following pattern in a large square field.
What is the size of the shaded area in the pattern?
Worked Solution
Total area of the largest square
|
| = 120 × 120 |
| = 14 400 m2 |
Area of next smallest square
= 7200 m2
Area of next smallest square = 3600 m2
|
|
| ∴ Shaded area |
= 41× 7200 + 21× 3600 |
|
= 1800 + 1800 |
|
= 3600 m2 |
Question Type
Answer Box
Variables
| Variable name | Variable value |
| question | An ancient civilisation created the following pattern in a large square field.
sm_img https://teacher.smartermaths.com.au/wp-content/uploads/2022/08/aebca96b-b270-4f44-80d6-e3a689067e0cv0_V3.svg 360 indent3 vpad
What is the size of the shaded area in the pattern? |
| workedSolution | sm_nogap Total area of the largest square
>>||
|-|
|= 120 $\times$ 120|
|= 14 400 m$^2$|
Area of next smallest square
= 7200 m$^2$
Area of next smallest square = 3600 m$^2$
|||
|-|-|
|$\therefore$ Shaded area|= $\dfrac{1}{4}\times$ 7200 + $\dfrac{1}{2}\times$ 3600|
||= 1800 + 1800|
||= {{{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 | 3600 | |
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
Variant 2
DifficultyLevel
792
Question
An ancient civilisation created the following pattern in a large square field.
What is the size of the shaded area in the pattern?
Worked Solution
Total area of the largest square
|
| = 80 × 80 |
| = 6400 m2 |
Area of next smallest square
= 3200 m2
Area of next smallest square = 1600 m2
|
|
| ∴ Shaded area |
= 21× 3200 + 41× 1600 |
|
= 1600 + 400 |
|
= 2000 m2 |
Question Type
Answer Box
Variables
| Variable name | Variable value |
| question | An ancient civilisation created the following pattern in a large square field.
sm_img https://teacher.smartermaths.com.au/wp-content/uploads/2022/08/aebca96b-b270-4f44-80d6-e3a689067e0cv0_V1.svg 400 indent3 vpad
What is the size of the shaded area in the pattern? |
| workedSolution | sm_nogap Total area of the largest square
>>||
|-|
|= 80 $\times$ 80|
|= 6400 m$^2$|
Area of next smallest square
= 3200 m$^2$
Area of next smallest square = 1600 m$^2$
|||
|-|-|
|$\therefore$ Shaded area|= $\dfrac{1}{2}\times$ 3200 + $\dfrac{1}{4}\times$ 1600|
||= 1600 + 400|
||= {{{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 | 2000 | |
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
Variant 3
DifficultyLevel
794
Question
An ancient civilisation created the pattern below on a large mural.
What is the size of the shaded area in the pattern?
Worked Solution
Total area of the largest square
|
| = 120 × 120 |
| = 14 400 m2 |
Area of next smallest square
= 7200 m2
Area of next smallest square = 3600 m2
|
|
| ∴ Shaded area |
= 21× 14 400 + 43× 3600 |
|
= 7200 + 2700 |
|
= 9900 m2 |
Question Type
Answer Box
Variables
| Variable name | Variable value |
| question | An ancient civilisation created the pattern below on a large mural.
sm_img https://teacher.smartermaths.com.au/wp-content/uploads/2022/08/aebca96b-b270-4f44-80d6-e3a689067e0cv0_V1-1.svg 400 indent3 vpad
What is the size of the shaded area in the pattern? |
| workedSolution | sm_nogap Total area of the largest square
>>||
|-|
|= 120 $\times$ 120|
|= 14 400 m$^2$|
Area of next smallest square
= 7200 m$^2$
Area of next smallest square = 3600 m$^2$
|||
|-|-|
|$\therefore$ Shaded area|= $\dfrac{1}{2}\times$ 14 400 + $\dfrac{3}{4}\times$ 3600|
||= 7200 + 2700|
||= {{{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 | 9900 | |
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
Variant 4
DifficultyLevel
795
Question
A gardener was paving a large courtyard and created the following pattern.
What is the size of the shaded area in the pattern?
Worked Solution
Total area of the largest square
|
| = 40 × 40 |
| = 1600 m2 |
Area of next smallest square
= 800 m2
Area of next smallest square = 400 m2
|
|
| ∴ Shaded area |
= 41× 1600 + 21× 800 + + 41× 400 |
|
= 400 + 400 + 100 |
|
= 900 m2 |
Question Type
Answer Box
Variables
| Variable name | Variable value |
| question | A gardener was paving a large courtyard and created the following pattern.
sm_img https://teacher.smartermaths.com.au/wp-content/uploads/2022/08/aebca96b-b270-4f44-80d6-e3a689067e0cv0_V5.svg 400 indent3 vpad
What is the size of the shaded area in the pattern? |
| workedSolution | sm_nogap Total area of the largest square
>>||
|-|
|= 40 $\times$ 40|
|= 1600 m$^2$|
Area of next smallest square
= 800 m$^2$
Area of next smallest square = 400 m$^2$
|||
|-|-|
|$\therefore$ Shaded area|= $\dfrac{1}{4}\times$ 1600 + $\dfrac{1}{2}\times$ 800 + + $\dfrac{1}{4}\times$ 400|
||= 400 + 400 + 100|
||= {{{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 | 900 | |
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
Variant 5
DifficultyLevel
789
Question
A gardener was paving a large courtyard and created the following pattern.
What is the size of the shaded area in the pattern?
Worked Solution
Total area of the largest square
|
| = 120 × 120 |
| = 14 400 m2 |
Area of next smallest square
= 7200 m2
Area of next smallest square = 3600 m2
|
|
| ∴ Shaded area |
= 21× 14 400 + 43× 3600 |
|
= 7200 + 2700 |
|
= 9900 m2 |
Question Type
Answer Box
Variables
| Variable name | Variable value |
| question | A gardener was paving a large courtyard and created the following pattern.
sm_img https://teacher.smartermaths.com.au/wp-content/uploads/2022/08/aebca96b-b270-4f44-80d6-e3a689067e0cv0_V1-1.svg 400 indent3 vpad
What is the size of the shaded area in the pattern? |
| workedSolution | sm_nogap Total area of the largest square
>>||
|-|
|= 120 $\times$ 120|
|= 14 400 m$^2$|
Area of next smallest square
= 7200 m$^2$
Area of next smallest square = 3600 m$^2$
|||
|-|-|
|$\therefore$ Shaded area|= $\dfrac{1}{2}\times$ 14 400 + $\dfrac{3}{4}\times$ 3600|
||= 7200 + 2700|
||= {{{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 | 9900 | |