Non-parametric tests

T-tests and ANOVA require that something is normally distributed (check individual resources for more details). If the assumption of normality has not been met, a non-parametric equivalent can be used if there is only one categorical independent (predictor) variable.

Click on the download button to get the appropriate resource for the test and software package you want help with.

	SPSS	R Sheet	R Script	Jamovi	SAS	Mathematical Understanding
Mann-Whitney/ Wilcoxon Rank Sum (Non-parametric independent t-test)
Kruskall-Wallis (non-parametric equivalent to one-way between groups ANOVA)
Wiloxon signed rank (non-parametric paired t-test equivalent)
Friedman test (Non-parametric repeated measures ANOVA)