30148
Question
The table below records the 2019 car sales in Asia of 4 car markers.
| Car Maker |
Sales in Asia |
| {{make1}} |
{{number1}} |
| {{make2}} |
{{number2}} |
| {{make3}} |
{{number3}} |
| {{make4}} |
{{number4}} |
What was the average (mean) car sales for the four car makers during 2019?
Worked Solution
One strategy: calculate approximate total sales by rounding numbers in the millions before adding (eg. 3 790 282 ⇒ 3.8 million).
|
|
| Mean Sales |
= Total Sales ÷ 4 |
|
{{working1}} million |
|
{{working2}} million |
|
= {{{correctAnswer}}} (closest option) |
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
Variant 0
DifficultyLevel
578
Question
The table below records the 2019 car sales in Asia of 4 car markers.
| Car Maker |
Sales in Asia |
| BMW |
1 152 322 |
| Ford |
2 901 907 |
| Toyota |
5 838 818 |
| Nissan |
2 143 805 |
What was the average (mean) car sales for the four car makers during 2019?
Worked Solution
One strategy: calculate approximate total sales by rounding numbers in the millions before adding (eg. 3 790 282 ⇒ 3.8 million).
|
|
| Mean Sales |
= Total Sales ÷ 4 |
|
≈41.2+2.9+5.8+2.1 million |
|
≈412.0 million |
|
= 3 009 213 (closest option) |
Question Type
Multiple Choice (One Answer)
Variables
| Variable name | Variable value |
| make1 | |
| number1 | |
| make2 | |
| number2 | |
| make3 | |
| number3 | |
| make4 | |
| number4 | |
| total | $\dfrac{12\ 036\ 852}{4}$
|
| working1 | $\approx \dfrac{1.2 + 2.9 + 5.8 + 2.1}{4}$ |
| working2 | $\approx \dfrac{12.0}{4}$ |
| correctAnswer | |
Answers
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
Variant 1
DifficultyLevel
578
Question
The table below records the 2019 car sales in Asia of 4 car markers.
| Car Maker |
Sales in Asia |
| Mercedes |
1 234 726 |
| Toyota |
5 838 818 |
| Honda |
2 309 222 |
| Tesla |
641 730 |
What was the average (mean) car sales for the four car makers during 2019?
Worked Solution
One strategy: calculate approximate total sales by rounding numbers in the millions before adding (eg. 3 790 282 ⇒ 3.8 million).
|
|
| Mean Sales |
= Total Sales ÷ 4 |
|
≈41.2+5.8+2.3+0.6 million |
|
≈49.9 million |
|
= 2 506 124 (closest option) |
Question Type
Multiple Choice (One Answer)
Variables
| Variable name | Variable value |
| make1 | |
| number1 | |
| make2 | |
| number2 | |
| make3 | |
| number3 | |
| make4 | |
| number4 | |
| total | $\dfrac{10\ 024\ 496}{4}$ |
| working1 | $\approx \dfrac{1.2 + 5.8 + 2.3 + 0.6}{4}$ |
| working2 | |
| correctAnswer | |
Answers
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
Variant 2
DifficultyLevel
578
Question
The table below records the 2019 car sales in Asia of 4 car markers.
| Car Maker |
Sales in Asia |
| Toyota |
5 838 818 |
| Volkswagon |
5 127 382 |
| Tesla |
641 730 |
| Nissan |
4 272 578 |
What was the average (mean) car sales for the four car makers during 2019?
Worked Solution
One strategy: calculate approximate total sales by rounding numbers in the millions before adding (eg. 3 790 282 ⇒ 3.8 million).
|
|
| Mean Sales |
= Total Sales ÷ 4 |
|
≈45.8+5.1+0.6+4.3 million |
|
≈415.8 million |
|
= 3 970 127 (closest option) |
Question Type
Multiple Choice (One Answer)
Variables
| Variable name | Variable value |
| make1 | |
| number1 | |
| make2 | |
| number2 | |
| make3 | |
| number3 | |
| make4 | |
| number4 | |
| total | $\dfrac{15\ 880\ 508}{4}$ |
| working1 | $\approx \dfrac{5.8 + 5.1 + 0.6 + 4.3}{4}$ |
| working2 | $\approx \dfrac{15.8}{4}$ |
| correctAnswer | |
Answers
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
Variant 3
DifficultyLevel
578
Question
The table below records the 2019 car sales in Asia of 4 car markers.
| Car Maker |
Sales in Asia |
| Nissan |
4 272 578 |
| Chevrolet |
2 392 112 |
| Mercedes |
1 234 726 |
| Proton |
207 807 |
What was the average (mean) car sales for the four car makers during 2019?
Worked Solution
One strategy: calculate approximate total sales by rounding numbers in the millions before adding (eg. 3 790 282 ⇒ 3.8 million).
|
|
| Mean Sales |
= Total Sales ÷ 4 |
|
≈44.3+2.4+1.2+0.2 million |
|
≈48.1 million |
|
= 2 026 806 (closest option) |
Question Type
Multiple Choice (One Answer)
Variables
| Variable name | Variable value |
| make1 | |
| number1 | |
| make2 | |
| number2 | |
| make3 | |
| number3 | |
| make4 | |
| number4 | |
| total | |
| working1 | $\approx \dfrac{4.3 + 2.4 + 1.2 + 0.2}{4}$ |
| working2 | |
| correctAnswer | |
Answers
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
Variant 4
DifficultyLevel
578
Question
The table below records the 2019 car sales in Asia of 4 car markers.
| Car Maker |
Sales in Asia |
| Honda |
2 309 222 |
| Volkswagen |
5 127 382 |
| Chevrolet |
2 392 112 |
| Kia |
2 068 573 |
What was the average (mean) car sales for the four car makers during 2019?
Worked Solution
One strategy: calculate approximate total sales by rounding numbers in the millions before adding (eg. 3 790 282 ⇒ 3.8 million).
|
|
| Mean Sales |
= Total Sales ÷ 4 |
|
≈42.3+5.1+2.4+2.1 million |
|
≈411.9 million |
|
= 2 974 322 (closest option) |
Question Type
Multiple Choice (One Answer)
Variables
| Variable name | Variable value |
| make1 | |
| number1 | |
| make2 | |
| number2 | |
| make3 | |
| number3 | |
| make4 | |
| number4 | |
| total | $\dfrac{11\ 897\ 289}{4}$ |
| working1 | $\approx \dfrac{2.3 + 5.1 + 2.4 + 2.1}{4}$ |
| working2 | $\approx \dfrac{11.9}{4}$ |
| correctAnswer | |
Answers