Nonparametric Hypothesis Testing Techniques questions with actual solutions 2025

Nonparametric Hypothesis Testing
Techniques questions with actual
solutions 2025.




Nonparametric tests - ANSWER: Statistical methods that do not assume a specific
distribution for the data.

Sign Test - ANSWER: A simple non-parametric statistical method used to test
hypotheses about the median of a single population or to compare two related samples.

Wilcoxon signed-rank test - ANSWER: A non-parametric statistical test used to compare
two related samples or repeated measurements on a single sample.

Wilcoxon rank-sum test - ANSWER: A non-parametric test used to compare two
independent samples.

Kruskal-Wallis test - ANSWER: A non-parametric method for testing whether samples
originate from the same distribution, used for three or more groups.

Parametric statistical methods - ANSWER: Procedures that rely on the assumption that
the parametric form of the distribution is known.

Central Limit Theorem (CLT) - ANSWER: A statistical theory that states that the
distribution of sample means approaches a normal distribution as the sample size
increases.

Advantages of Non-Parametric Statistical Procedures - ANSWER: Require very few
assumptions and are less sensitive to measurement errors.