A2 October 2020 Q6
6. A new employee, Kim, joins an existing employee, Jiang, to work in the quality control department of a company producing steel rods.
Each day a random sample of rods is taken, their lengths measured and a 95% confidence interval for the mean length of the rods, in metres, is calculated. It is assumed that the lengths of the rods produced are normally distributed.
Kim took a random sample of 25 rods and used the \(t\) distribution to obtain a 95% confidence interval of (1.193, 1.367) for the mean length of the rods.
Jiang commented that this interval was a little wider than usual and explained that they usually assume that the standard deviation does not change and can be taken as 0.175 metres.
Using Kim’s sample and the normal distribution with a standard deviation of 0.175 metres,
| Scheme | Marks | AO |
|---|---|---|
| From CI \(\bar{x} = \dfrac{1.193 + 1.367}{2} = 1.28\) or width = 1.367 – 1.193 = 0.174 | B1 | 1.1b |
| \(1.367 = \text{“}1.28\text{”} \pm 2.064 \times \dfrac{s}{\sqrt{25}}\) or \(\text{“}0.174\text{”} = 2 \times 2.064 \times \dfrac{s}{\sqrt{25}}\) | M1;A1 | 3.4 1.1b |
| \(\Rightarrow s = 0.210755\ldots\) | A1 | 1.1b |
| \(\mathrm{H}_0 : \sigma = 0.175 \qquad \mathrm{H}_1 : \sigma \neq 0.175\) | B1 | 2.5 |
| \(\chi^2_{24} = \dfrac{24s^2}{\sigma^2} =,\ 34.8092\ldots\) awrt 34.8 | M1, A1 | 3.3 1.1b |
| \(\chi^2_{24}(10\%)\) 2-tail CR is \(\chi^2_{24} \lt \underline{13.848}\) or \(\chi^2_{24} \gt \underline{36.415}\) | B1 | 2.1 |
| 34.8 is not significant so insufficient evidence that \(\sigma \neq 0.175\) | A1 | 2.2b |
| (9) |
Notes
1st B1 for finding mean from CI or calculation of width of CI
1st M1 for using the given \(t\) model to form an equation in \(s\). (Allow \(t\) for 2.064 where \(2 \lt t \lt 3\))
1st A1 for correct use of \(t_{24} = 2.064\)
2nd A1 for \(s = 0.21\) or better
2nd B1 for correct hypotheses in terms of \(\sigma\).
2nd M1 for selecting the appropriate model for this test
3rd A1 for test statistic awrt 34.8
3rd B1 for at least one correct critical value
4th A1 for a correct conclusion confirming that assuming st. dev = 0.175 is OK
| Scheme | Marks | AO |
|---|---|---|
| \(\text{“}1.28\text{”} \pm z \times \dfrac{0.175}{\sqrt{25}}\) | M1 | 3.3 |
| \(z = 1.96\) | B1 | 1.1b |
| \(= (1.211\ldots,\ 1.349\ldots)\) = awrt (1.21, 1.35) | A1 | 1.1b |
| (3) | ||
| (12 marks) |
Notes
M1 for use of correct formula with \(1.6 \lt z \lt 2\) (ft \(\bar{x}\) if found in (a))
B1 for \(z = 1.96\) or better used
A1 for an interval awrt (1.21, 1.35)