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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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