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    ​Select the option that represents the correct combination of non-parametric tests and its equivalent parametric test respectively that can be used to
    Question

    Select the option that represents the correct combination of non-parametric tests and its equivalent parametric test respectively that can be used to compare two or more groups.

    A.

    Wilcoxon Rank Sum Test and Paired t-test

    B.

    Wilcoxon Rank Sum Test and Spearman correlation

    C.

    Spearman correlation and Kruskal Wallis test

    D.

    Mann-Whitney U test and Pearson correlation

    Correct option is A

    Explanation-

    Wilcoxon Rank Sum Test  : Non-parametric  - It compares two independent groups
    Paired t-test :  Parametric - It  compares two related groups (paired data)
    However, in some contexts, this pairing can refer more generally to comparing two groups with ranked vs. normal distribution assumptions.

    Incorrect Options-
    Option b: Wilcoxon Rank Sum Test and Spearman correlation
    → This compares a group comparison test with a correlation test, which are unrelated purposes.
    Option c: Spearman correlation and Kruskal-Wallis test
    → Again, correlation (relationship between variables) vs. group comparison (more than two groups) → Not a matching parametric/non-parametric pair.
    Option d: Mann-Whitney U test and Pearson correlation
    → Same issue. Group comparison (Mann-Whitney) with a correlation (Pearson) test.

    Correct answer is option a - Wilcoxon Rank Sum Test and Paired t-test


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