S3 June 2007 Q5
5. In a trial of diet \(A\) a random sample of 80 participants were asked to record their weight loss, \(x\) kg, after their first week of using the diet. The results are summarised by
\[\sum x = 361.6 \quad \text{and} \quad \sum x^2 = 1753.95\]The designers of diet \(A\) believe it can achieve a greater mean weight loss after the first week than a standard diet \(B\). A random sample of 60 people used diet \(B\). After the first week they had achieved a mean weight loss of 4.06 kg, with an unbiased estimate of variance of weight loss of 2.50 kg2.
| Scheme | Marks |
|---|---|
| \(\hat{\mu} = \bar{x} = \dfrac{361.6}{80},\ = \underline{4.52}\) | M1, A1 |
| \(\hat{\sigma}^2 = s^2 = \dfrac{1753.95 - 80 \times \bar{x}^2}{79} = (1.51288\ldots)\) | M1A1ft |
| AWRT 1.51 | A1 |
| (5) |
Notes
2nd M1 for a correct attempt at \(s\) or \(s^2\), A1ft for correct expression for \(s^2\), ft their mean.
N.B. \(\sigma^2_n = 1.49\ldots\) so \(\dfrac{80}{79} \times 1.49\ldots\) is M1A1ft
| Scheme | Marks |
|---|---|
| \(\mathrm{H}_0 : \mu_A = \mu_B \qquad \mathrm{H}_1 : \mu_A \gt \mu_B\) | B1 B1 |
| Denominator | M1 |
| \(z = \dfrac{4.52 - 4.06}{\sqrt{\dfrac{1.51\ldots}{80} + \dfrac{2.50}{60}}} = \left(\dfrac{0.46}{\sqrt{0.0605\ldots}}\right)\) \(z\) | dM1 |
| \(= (\pm)\ 1.8689\ldots\) AWRT (\(\pm\)) 1.87 | A1 |
| One tail c.v. is \(z = 1.6449\) (AWRT 1.645 or probability AWRT 0.0307 or 0.0308) | B1 |
| (significant) there is evidence that diet \(A\) is better than diet \(B\) or evidence that (mean) weight lost in first week using diet \(A\) is more than with \(B\) | A1ft |
| (7) |
Notes
1st B1 can be given for \(\mu_1 = \mu_2\), but 2nd B1 must specify which is \(A\) or \(B\).
1st M1 for the denominator, follow through their 1.51.
Must have square root can condone \(2.50^2\) but \(\sqrt{\dfrac{1.51^2}{80} + \dfrac{2.50^2}{60}}\) is M0.
Allow \(\sqrt{\dfrac{1.51}{79} + \dfrac{2.50}{59}}\) leading to AWRT 1.85 to score M1M1A0 in (b) and can score in (d).
2nd dM1 for attempting the correct test statistic, dependent on denominator mark
1st A1 for AWRT \(\pm\) 1.87, may be implied by a correct probability.
2nd A1ft ft their test statistic vs their cv only if \(\mathrm{H}_1\) is correct and both Ms are scored
| Scheme | Marks |
|---|---|
| CLT enables you to assume that \(\bar{A}\) and \(\bar{B}\) are normally distributed | B1 |
| (1) |
Notes
B1 for stating either \(\bar{A}\) or \(\bar{B}\) (but not \(A\) or \(B\)) are normally distributed
| Scheme | Marks |
|---|---|
| Assumed \(\sigma_A^{\,2} = s_A^{\,2}\) and \(\sigma_B^{\,2} = s_B^{\,2}\) (either) | B1 |
| (1) | |
| (14 marks) |
Notes
B1 for either, can be stated in words in terms of variances or standard deviations.