Generalizations
ANOVA is considered to be a special case of linear regression which in turn is a special case of the general linear model. All consider the observations to be the sum of a model (fit) and a residual (error) to be minimized.
The Kruskal–Wallis test and the Friedman test are nonparametric tests, which do not rely on an assumption of normality.
Read more about this topic: Analysis Of Variance
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