Table 3. Analysis of the association between random variables using Pearson and Spearman correlations as statistics.
ρ is the value of the correlation statistic and p is the p-value of a two-sided test with null hypothesis ρ = 0, calculated through permutations of one of the variables (the results can be different if p is calculated from a t–test). The sample size is 𝓝 = 10 in all cases. Only the Spearman correlation between a w and a l/a w is significantly different from zero.
| Association | Correlation test | ρ | p |
|---|---|---|---|
| γ w/γ l and γ l | Pearson correlation test | −0.378 | 0.28 |
| Spearman correlation test | −0.418 | 0.23 | |
| γ l/γ w and γ w | Pearson correlation test | −0.034 | 0.92 |
| Spearman correlation test | −0.091 | 0.81 | |
| a w/a l and a l | Pearson correlation test | 0.420 | 0.24 |
| Spearman correlation test | 0.393 | 0.26 | |
| a l/a w and a w | Pearson correlation test | −0.373 | 0.11 |
| Spearman correlation test | −0.867 | 0.002 |