Which of the following is a NON-PARAMETRIC test used to compare more than two independent groups when data are not normally distributed?
- A Kruskal-Wallis test ✓
- B ANOVA (F-test)
- C Pearson's correlation
- D Paired t-test
Correct answer: A. Kruskal-Wallis test
Explanation
The Kruskal-Wallis test is the non-parametric equivalent of one-way ANOVA, used to compare medians across more than two independent groups when the normality assumption is violated. ANOVA is its parametric counterpart and requires normally distributed data. Pearson's correlation assesses linear association between two continuous variables.
Reference: Park's Textbook of Preventive and Social Medicine, 27th ed.
High-yield for: NEET PGINI-CETNExTFMGEUSMLEPLABMRCP
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