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  1. Statistics

    Linked via "non-parametric methods"

    Non-Parametric Methods
    When data distributions are severely skewed, or when assumptions regarding underlying population distributions (such as normality) cannot be met, non-parametric methods are employed. These tests often rely on the ranks of the data rather than the raw values.
    The Wilcoxon Rank-Sum Test is a common alternative to the two-sample $t$-test, while the Kruskal-Wallis Test serves as a non-parametric analogue to the one-way Analysis of Variance (ANOVA).