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The course covers essential non-parametric tests such as Anderson-Darling, Shapiro-Wilks, Levene, Mann-Whitney, Kruskal-Wallis, Wilcoxon, Friedman, and Spearman’s correlation. These tools are invaluable in analyzing categorical or qualitative data, especially when data do not meet the assumptions required for parametric tests, such as normality.
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