Question

Which of the following represent a non-parametric statistical tool?

• A. Independent t-test
• B. Mann Whitney u-test
• C. Friedman’s test
• D. Kruskal Wallis test
• E.

Hint:

Non-parametric tests are useful when data does not meet normality assumptions, and they often use ranks rather than raw data.

Answer 1

The Correct Option is C

Step 1: Understanding non-parametric tools.
Non-parametric tests are statistical tests that do not assume a specific distribution for the data.
They are often used when the data does not meet the assumptions required for parametric tests.
Step 2: Analysis of options.
- (A) Independent t-test: This is a parametric test used for comparing means between two independent groups.
- (B) Mann Whitney u-test: This is a non-parametric test used for comparing differences between two independent groups based on ranks.
- (C) Friedman’s test: This is a non-parametric test used to detect differences in treatments across multiple test attempts.
- (D) Kruskal Wallis test: This is a non-parametric test used to compare more than two independent groups based on ranks.
Step 3: Conclusion.
The correct non-parametric tests are (B) Mann Whitney u-test, (C) Friedman’s test, and (D) Kruskal Wallis test.