A2 October 2021 Q1
1. Anisa is investigating the relationship between marks on a History test and marks on a Geography test. She collects information from 7 students. She wants to calculate the Spearman’s rank correlation coefficient for the 7 students so she ranks their performance on each test.
| Student | History mark | Geography mark | History rank | Geography rank |
|---|---|---|---|---|
| \(A\) | 76 | 58 | 1 | 3 |
| \(B\) | 70 | 60 | 2 | 2 |
| \(C\) | 64 | 57 | \(s\) | \(t\) |
| \(D\) | 64 | 63 | \(s\) | 1 |
| \(E\) | 64 | 57 | \(s\) | \(t\) |
| \(F\) | 59 | 50 | 6 | 7 |
| \(G\) | 55 | 52 | 7 | 6 |
The full product moment correlation coefficient (pmcc) formula is used with the ranks to calculate the Spearman’s rank correlation coefficient instead of \(r_s = 1 - \dfrac{6\Sigma d^2}{n(n^2 - 1)}\) and the value obtained is 0.7106 to 4 significant figures.
| Scheme | Marks | AO |
|---|---|---|
| \(s = 4\) | B1 | 1.1b |
| \(t = 4.5\) | B1 | 1.1b |
| (2) |
Notes
B1: cao
B1: cao
| Scheme | Marks | AO |
|---|---|---|
| Because there are tied ranks. | B1 | 2.4 |
| (1) |
Notes
B1: Correct explanation
| Scheme | Marks | AO |
|---|---|---|
| \(\mathrm{H}_0 : \rho_s = 0 \qquad \mathrm{H}_1 : \rho_s \gt 0\) | B1 | 2.5 |
| CV = 0.7143 | B1 | 1.1b |
| \(r_s = 0.7106\) does not lie in the critical region. | M1 | 2.1 |
| There is insufficient evidence to suggest that the higher the rank in the History test, the higher the rank in the Geography test (oe). | A1 | 2.2b |
| (4) | ||
| (7 marks) |
Notes
B1: Both hypotheses correct with correct notation (must use \(\rho_s\) or \(\rho\))
B1: Correct critical value 0.7143 or better
M1: Drawing a correct inference using their CV and 0.7106
A1: Drawing a correct inference (condone “marks” instead of ranks) in context using their CV and 0.7106