Question 1 Report
The table shows the favourite drink of \(200\) people.
| Drink | Tea | Coffee | Juice | Water |
|---|---|---|---|---|
| Number of people | 62 | 78 | 35 | 25 |
(a) One of these people is chosen at random. Write down the probability that juice is their favourite drink. [1]
(b) Write down the probability that tea or water is their favourite drink. [1]
(c) A different group of \(500\) people is surveyed. Estimate the number of these people whose favourite drink is coffee. [2]
(a) The frequencies in the table total \(200\), which matches the number of people surveyed, so a probability is a frequency divided by \(200\).
\[ P(\text{juice}) = \frac{35}{200} = \frac{7}{40} \] [B1]
(b) Tea and water are mutually exclusive, since each person names only one favourite, so their frequencies add.
\[ P(\text{tea or water}) = \frac{62 + 25}{200} = \frac{87}{200} \] [B1]
(c) The proportion choosing coffee in the survey is used as an estimate of the proportion in the new group, then applied to \(500\) people.
\[ \frac{78}{200} \times 500 \] [M1]
\[ = 0.39 \times 500 = 195 \text{ people} \] [A1]
Equivalent forms such as \(0.175\) in (a) and \(0.435\) in (b) are accepted. Part (c) is an estimate: it assumes the second group has similar tastes to the first, which is exactly the assumption that makes a sample useful for prediction.
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