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
Variant 0
DifficultyLevel
590
Question
Zeus has 21 chickens, from 3 different breeds.
| Breed |
Number of Chickens |
| Leghorn |
7 |
| Polish |
5 |
| Dorking |
9 |
What is the probability that a chicken selected randomly will be either a Dorking chicken or a Leghorn chicken?
Worked Solution
|
|
| P (Leg horn or Dorking) |
= Total number of chickensNumber of Leghorn + Number of Dorking |
|
= 217+9 |
|
= 2116 |
Question Type
Multiple Choice (One Answer)
Variables
| Variable name | Variable value |
| question | Zeus has 21 chickens, from 3 different breeds.
> | Breed | Number of Chickens |
> | :-----------: | :----------: |
> | Leghorn | 7 |
> | Polish | 5 |
> | Dorking | 9 |
What is the probability that a chicken selected randomly will be either a Dorking chicken or a Leghorn chicken? |
| workedSolution |
| | |
| ------------- | ---------- |
| $P$ (Leg horn or Dorking) | \= $\dfrac{\text{Number of Leghorn + Number of Dorking}}{\text{Total number of chickens}}$ |
| | \= $\dfrac{7 + 9}{21}$|
| | \= {{{correctAnswer}}} |
|
| correctAnswer | |
Answers
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
Variant 1
DifficultyLevel
592
Question
Wendy has 32 different flowers as shown in the table below.
| Kind of flower |
Number of flowers |
| Carnations |
8 |
| Tulips |
6 |
| Dandelions |
11 |
| Roses |
7 |
What is the probability that a flower selected randomly will be either a carnation or a tulip?
Worked Solution
|
|
| P (Carnation or Tulip) |
= Total number of flowersNumber of Carnations + Number of Tulips |
|
= 328+6 |
|
= 3214 |
|
= 167 (lowest term) |
Question Type
Multiple Choice (One Answer)
Variables
| Variable name | Variable value |
| question | Wendy has 32 different flowers as shown in the table below.
> | Kind of flower | Number of flowers |
> | :-----------: | :----------: |
> | Carnations | 8 |
> | Tulips | 6 |
> | Dandelions | 11 |
> | Roses | 7 |
What is the probability that a flower selected randomly will be either a carnation or a tulip? |
| workedSolution |
| | |
| ------------- | ---------- |
| $P$ (Carnation or Tulip) | \= $\dfrac{\text{Number of Carnations + Number of Tulips}}{\text{Total number of flowers}}$ |
| | \= $\dfrac{8 + 6}{32}$|
|| \= $\dfrac{14}{32}$ |
| | \= {{{correctAnswer}}} (lowest term) |
|
| correctAnswer | |
Answers