S3 June 2014 (R) Q1
1. A journalist is investigating factors which influence people when they buy a new car. One possible factor is fuel efficiency. The journalist randomly selects 8 car models. Each model’s annual sales and fuel efficiency, in km/litre, are shown in the table below.
| Car model | \(A\) | \(B\) | \(C\) | \(D\) | \(E\) | \(F\) | \(G\) | \(H\) |
| Annual sales | 1800 | 5400 | 18 100 | 7100 | 9300 | 4800 | 12 200 | 10 700 |
| Fuel efficiency | 5.2 | 18.6 | 14.8 | 13.2 | 18.3 | 11.9 | 16.5 | 17.7 |
The journalist believes that car models with higher fuel efficiency will achieve higher sales.
(No further calculations are required.) (1)
| Scheme | Marks | ||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| M1 | ||||||||||||||||||||||||||||||||||||
| \(\sum d^2 = 50\) | M1A1 | ||||||||||||||||||||||||||||||||||||
| \(r_s = 1 - \dfrac{6\sum d^2}{8(64 - 1)} = 1 - \dfrac{6 \times 50}{8 \times 63}\) | M1 | ||||||||||||||||||||||||||||||||||||
| \(r_s = \dfrac{204}{504} = 0.40476\ldots\) awrt 0.405 | A1 | ||||||||||||||||||||||||||||||||||||
| (5) |
Notes
M1 for attempting to rank at least one set of data
A1 for at least one set of data ranked correctly (NB this mark comes after 2nd M1)
M1 for attempting \(\Sigma d^2\)
M1 for correct use of formula for \(r_s\)
| Scheme | Marks |
|---|---|
| \(\mathrm{H_0}: \rho_s = 0 \qquad \mathrm{H_1}: \rho_s \gt 0\) (accept \(\rho_s\) or \(\rho\)) | B1 |
| 1 tail critical value \(\rho = 0.6429\) | B1 |
| Test value is not in critical region so insufficient evidence to reject \(\mathrm{H_0}\) No significant evidence at 5% level to support journalist’s belief | M1A1ft |
| (4) |
Notes
B1 for \(\mathrm{H_0}\) and \(\mathrm{H_1}\) correct (condone \(\leqslant\) for \(\mathrm{H_0}\))
2nd B1 allow 0.7381 if their \(\mathrm{H_1}: \rho_s \neq 0\)
M1 for correct statement relating their test statistic and critical value
A1ft their test statistic, \(\mathrm{H_1}\) and critical value but must be in context.
| Scheme | Marks |
|---|---|
| Underlying (bivariate) Normal distribution | B1 |
| (1) |
Notes
B1 require Normal distribution, ignore additional assumptions
| Scheme | Marks |
|---|---|
| Evidence does not support Normal distribution since mean < median or (negative) skew, oe | B1 |
| (1) | |
| (11 marks) |
Notes
B1 require not Normal and valid reason