| Two-sample Nonparametric Tests |
| See Also |
| Wilcoxon | This is a nonparametric test of location for two related samples (for example a before-and-after study). The null hypothesis is that the samples arise from exactly the same distribution, and this is tested against the alternative that the underlying distributions differ in their locations |
| Kolmogorov-Smirnoff test | This is a test of the hypothesis that two samples of data have arisen from the same distribution, against the alternative that the underlying distributions are different. The test statistic is the maximum absolute difference between their cumulative distribution functions |
| Spearman's Rank Correlation | Spearman's Rank Correlation Coefficient is a measure of the association between the rankings of two samples and can be used to test for independence of the samples |
| Mann-Whitney U test | This is a test for differences in location between two samples of data |
| Sign test | The two sample sign test is a nonparametric test for difference in location between two related samples |
These statistical tests are performed by the following procedures which may also be used in command mode with additional parameters in some cases: WILCOXON, MANNWHITNEY, KOLMOGOROV, SIGNTEST, SPEARMAN
The descriptions of these commands contain full details of the methods used to calculate the test statistics, along with suitable references.