The Friedman test, named after its developer, the statistician Milton Friedman, is a non-parametric statistical test used to analyze the differences among three or more groups when the dependent variable is ordinal or continuous, but not normally distributed. It is often used as an alternative to the one-way ANOVA (Analysis of Variance) when the assumptions of ANOVA are not met, such as when the data is not normally distributed or when the data violates the assumption of homogeneity of variances.
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