Friedman’s ANOVA is a non-parametric test of whether more than two related groups differ. It is the non-parametric version of one-way repeated-measures ANOVA. That is, it tests whether the populations from which more than two related samples are drawn have the same location. This test has been superseded by developments in robust statistical tests. It’s included here for historical reasons.