Which test is used to compare observed frequencies with expected frequencies for a categorical variable with more than 2 categories?
- A Fisher's exact test
- B Kruskal-Wallis test
- C Chi-square goodness-of-fit test ✓
- D One-way ANOVA
Correct answer: C. Chi-square goodness-of-fit test
Explanation
The chi-square goodness-of-fit test compares an observed distribution of a categorical variable with an expected theoretical distribution. It applies to any number of categories. Fisher's exact test is used for 2×2 tables with small expected frequencies. Kruskal-Wallis and ANOVA compare central tendency of continuous (or ordinal) variables across ≥3 groups, not categorical frequency distributions.
Reference: Park's Textbook of Preventive and Social Medicine, 27th ed.
High-yield for: NEET PGINI-CETNExTFMGEUSMLEPLABMRCP
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