4. A farmer set up a trial to assess the effect of two different diets on the increase in the weight of his lambs. He randomly selected 20 lambs. Ten of the lambs were given \(\operatorname { diet } A\) and the other 10 lambs were given diet \(B\). The gain in weight, in kg , of each lamb over the period of the trial was recorded.
- State why a paired \(t\)-test is not suitable for use with these data.
- Suggest an alternative method for selecting the sample which would make the use of a paired \(t\)-test valid.
- Suggest two other factors that the farmer might consider when selecting the sample.
The following paired data were collected.
| Diet \(A\) | 5 | 6 | 7 | 4.6 | 6.1 | 5.7 | 6.2 | 7.4 | 5 | 3 |
| Diet \(B\) | 7 | 7.2 | 8 | 6.4 | 5.1 | 7.9 | 8.2 | 6.2 | 6.1 | 5.8 |
- Using a paired \(t\)-test, at the \(5 \%\) significance level, test whether or not there is evidence of a difference in the weight gained by the lambs using \(\operatorname { diet } A\) compared with those using \(\operatorname { diet } B\).
- State, giving a reason, which diet you would recommend the farmer to use for his lambs.
(Total 13 marks)