S3 June 2016 Q7
7. A restaurant states that its hamburgers contain 20% fat. Paul claims that the mean fat content of their hamburgers is less than 20%. Paul takes a random sample of 50 hamburgers from the restaurant and finds that they contain a mean fat content of 19.5% with a standard deviation of 1.5%
You may assume that the fat content of hamburgers is normally distributed.
The restaurant changes the mean fat content of their hamburgers to \(\mu\)% and adjusts the standard deviation to 2%. Paul takes a sample of size \(n\) from this new batch of hamburgers. He uses the sample mean \(\bar{X}\) as an estimator of \(\mu\).
| Scheme | Marks |
|---|---|
| \(19.5 \pm 1.6449 \times \dfrac{1.5}{\sqrt{50}}\) | M1B1 |
| \(= (19.151\ldots,\ 19.848\ldots)\) awrt 19.2, awrt 19.8 | A1A1 |
| (4) |
Notes
M1 correct with their \(z\) i.e. \(19.5 \pm (z \text{ value}) \times \dfrac{1.5}{\sqrt{50}}\)
B1 for 1.6449
A1 awrt 19.2, A1 awrt 19.8(5)
| Scheme | Marks |
|---|---|
| CI does not contain 20 oe | M1 |
| Fast Food restaurant statement is too high; they should reduce the stated value. | A1 |
| (2) |
Notes
M1 Require 20 compared to their interval
A1 Accept statement that relates to 20 being above the interval.
| Scheme | Marks |
|---|---|
| \(\mathrm{P}(|\bar{X} - \mu| \lt 0.5) = 0.9\) \(\dfrac{0.5}{\frac{2}{\sqrt{n}}} = 1.6449\) | M1A1 |
| \(n = \left(2 \times \dfrac{1.6449}{0.5}\right)^2 = 43.29\ldots\) | dM1A1 |
| Sample size required is 44 | A1 |
| (5) | |
| (11 marks) |
Notes
M1 \(\dfrac{0.5}{\frac{2}{\sqrt{n}}} = z\) value or equivalent expression
A1 All correct
dM1 Attempt to solve \(\dfrac{0.5}{\frac{2}{\sqrt{n}}} =\) their \(z\) value
A1 awrt 43.3
A1 44 cao