Statistics and Probability, NAPX-I3-CA18
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
Variant 0
DifficultyLevel
598
Question
Petal did a survey of her class, asking everyone what their favourite season is.
This table below shows the results.
| Season |
Number of Classmates |
| Summer |
17 |
| Autumn |
8 |
| Winter |
2 |
| Spring |
10 |
What is the probability that a randomly selected classmate's favourite season is Spring?
Round your answer to the nearest hundredth.
Worked Solution
|
|
|
= total classmatesnumber who chose Spring |
|
|
|
= 17+8+2+1010 |
|
|
|
= 3710 |
|
= 0.270... |
|
= 0.27 (nearest hundredth) |
Question Type
Multiple Choice (One Answer)
Variables
| Variable name | Variable value |
| question | Petal did a survey of her class, asking everyone what their favourite season is.
This table below shows the results.
>>| Season | Number of Classmates|
|:-:|:-:|
| Summer | 17|
| Autumn | 8|
|Winter|2|
|Spring| 10|
What is the probability that a randomly selected classmate's favourite season is Spring?
Round your answer to the nearest hundredth. |
| workedSolution | sm_nogap $P$(Spring is favourite)
>| | |
| ------------- | ---------- |
| | \= $\dfrac{\text{number who chose Spring}}{\text{total classmates}}$ |
|||
| | \= $\dfrac{10}{17 + 8 + 2 + 10}$ |
|||
| | \= $\dfrac{10}{37}$ |
| | \= 0.270... |
| | \= {{{correctAnswer}}} (nearest hundredth)|
|
| correctAnswer | |
Answers
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
Variant 1
DifficultyLevel
597
Question
Jenny did a survey of her kindergarten class, asking everyone who their favourite Wiggle was.
This table below shows the results.
| Wiggle |
Number of Students |
| Red |
5 |
| Blue |
6 |
| Yellow |
9 |
| Purple |
3 |
What is the probability that a randomly selected classmate's favourite Wiggle is Yellow Wiggle?
Round your answer to the nearest hundredth.
Worked Solution
P(Yellow Wiggle favourite)
|
|
|
= total classmatesnumber who chose Yellow Wiggle |
|
|
|
= 5+6+9+39 |
|
|
|
= 239 |
|
= 0.391... |
|
= 0.39 (nearest hundredth) |
Question Type
Multiple Choice (One Answer)
Variables
| Variable name | Variable value |
| question | Jenny did a survey of her kindergarten class, asking everyone who their favourite Wiggle was.
This table below shows the results.
>>| Wiggle | Number of Students|
|:-:|:-:|
| Red | 5|
| Blue | 6|
|Yellow|9|
|Purple| 3|
What is the probability that a randomly selected classmate's favourite Wiggle is Yellow Wiggle?
Round your answer to the nearest hundredth. |
| workedSolution | sm_nogap $P$(Yellow Wiggle favourite)
>| | |
| ------------- | ---------- |
| | \= $\dfrac{\text{number who chose Yellow Wiggle}}{\text{total classmates}}$ |
|||
| | \= $\dfrac{9}{5 + 6 + 9 + 3}$ |
|||
| | \= $\dfrac{9}{23}$ |
| | \= 0.391... |
| | \= {{{correctAnswer}}} (nearest hundredth) |
|
| correctAnswer | |
Answers
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
Variant 2
DifficultyLevel
595
Question
Haggs did a survey of his kindergarten class, asking everyone who their favourite Teletubby was.
This table below shows the results.
| Teletubby |
Number of Students |
| Dipsy |
3 |
| Laa-Laa |
5 |
| Tinky-Winky |
11 |
| Po |
2 |
What is the probability that a randomly selected classmate's favourite Teletubby is Tinky-Winky?
Round your answer to the nearest hundredth.
Worked Solution
P(Tinky-Winky favourite)
|
|
|
= total classmatesnumber who chose Tinky-Winky |
|
|
|
= 3+5+11+211 |
|
|
|
= 2111 |
|
= 0.523... |
|
= 0.52 (nearest hundredth) |
Question Type
Multiple Choice (One Answer)
Variables
| Variable name | Variable value |
| question | Haggs did a survey of his kindergarten class, asking everyone who their favourite Teletubby was.
This table below shows the results.
>>| **Teletubby** | **Number of Students**|
|:-:|:-:|
| Dipsy | 3|
| Laa-Laa |5|
|Tinky-Winky| 11|
|Po| 2 |
What is the probability that a randomly selected classmate's favourite Teletubby is Tinky-Winky?
Round your answer to the nearest hundredth. |
| workedSolution | sm_nogap $P$(Tinky-Winky favourite)
>| | |
| ------------- | ---------- |
| | \= $\dfrac{\text{number who chose Tinky-Winky}}{\text{total classmates}}$ |
|||
| | \= $\dfrac{11}{3 + 5 + 11 + 2}$ |
|||
| | \= $\dfrac{11}{21}$ |
| | \= 0.523... |
| | \= {{{correctAnswer}}} (nearest hundredth) |
|
| correctAnswer | |
Answers