Cheatsheet
Description
When to use which technique
| Parametric Tests | Nonparametric Tests | |
|---|---|---|
| One Sample | Simple t-Test | Wilcoxon test for one sample |
| Two dependent samples | Paired Sample t-Test | Wilcoxon Test |
| Two independent samples | Unpaired Sample t-Test | Mann-Whitney U Test |
| More than two independent samples | One factorial ANOVA | Kruskal-Wallis Test |
| More than two dependent samples | Repeated Measures ANOVA | Friedman Test |
| Correlation between two variables | Pearson correlation | Spearman's rank correlation |
Parametric tests:
- Data normally distributed
- e.g. the t-test, the analysis of variance, or the Pearson correlation
Non-parametric tests:
- Data not normally distributed
- e.g. the Mann-Whitney U test or the Spearman correlation