Question
Match the LIST-I with LIST-IILIST-I LIST-II A. t-test I. determines whether two independent samples have been drawn from the same population. B. Chi-Square test II. It does not require that the samples come from approximately normal distribution. C. Wilcoxon- Mann Whitney 'U' test III. Significance of difference between two means. D. Kruskal-Wallis 'H' test IV. Significance of difference between observed and expected frequencies.
Choose the correct answer from the options given below:
This question was previously asked in
CUET PG 2026 Agri-Business Management Question Paper (25-Mar-2026) (Shift 2)
The correct answer is
A-III, B-IV, C-I, D-II
Matching Statistical Tests with Descriptions
This question requires matching statistical tests from LIST-I with their primary functions or characteristics described in LIST-II.
Analysis of Tests:
- A. t-test: Used to compare the means of two groups.
- B. Chi-Square test: Used for analyzing categorical data to compare observed frequencies with expected frequencies.
- C. Wilcoxon-Mann Whitney 'U' test: A non-parametric test comparing two independent samples.
- D. Kruskal-Wallis 'H' test: A non-parametric test comparing three or more independent samples.
Matching LIST-I with LIST-II:
- t-test (A) is primarily used for determining the Significance of difference between two means (III).
- Chi-Square test (B) is used for assessing the Significance of difference between observed and expected frequencies (IV).
- Wilcoxon-Mann Whitney 'U' test (C), being a test for two independent samples, determines whether two independent samples have been drawn from the same population (I).
- Kruskal-Wallis 'H' test (D) is a non-parametric test, meaning It does not require that the samples come from approximately normal distribution (II).
Correct Matching:
Based on the analysis, the correct matching is:
- A - III
- B - IV
- C - I
- D - II
This corresponds to option C.
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