Which of the following are examples of non parametric tests?

A. Mann Whitney U test

B. Sign test

C. Kruskal wallis H test

D. t test

E. ANOVA

Choose the most appropriate answer from the options given below:

The correct answer is - Option 2: A, B, and C Only

Key Points

• Non-parametric tests
  • These tests do not assume a specific distribution for the data.
  • They are used when the data does not meet the assumptions required for parametric tests.
• Mann Whitney U test
  • Also known as the Wilcoxon rank-sum test.
  • Used to compare differences between two independent groups.
• Sign test
  • Used to test the consistency of differences between pairs of observations.
  • Often applied to matched pairs data.
• Kruskal-Wallis H test
  • Used to compare three or more independent groups.
  • It is an extension of the Mann Whitney U test for more than two groups.

Additional Information

• Parametric tests
  • These tests assume the data follows a certain distribution, typically normal distribution.
  • Examples include the t-test and ANOVA.
• t test
  • Used to compare the means of two groups.
  • Assumes the data is normally distributed.
• ANOVA (Analysis of Variance)
  • Used to compare the means of three or more groups.
  • Assumes the data is normally distributed and the variances are equal.
• Choosing the right test
  • When data does not meet parametric assumptions, non-parametric tests are preferred.
  • Understanding the characteristics of the data is crucial for selecting the appropriate test.