Friedman's rank test for k-correlated samples is used to assess the degree of association between ranks, much like a correlation coefficient.

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Friedman's rank test for k-related samples is a non-parametric alternative to the one-way ANOVA with repeated measures, used to test for differences between groups when the dependent variable being measured is ordinal. It does not assess the degree of association between ranks like a correlation coefficient does.

Friedman's Rank Test for K-Correlated Samples Is Used to Assess