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Non-Parametric Tests Overview and Analysis by Meghashiree R is a document available to read on EtoBox.
What is Non-Parametric Tests Overview and Analysis about?
A non-parametric test is a type of statistical test that does not assume the data comes from a particular probability distribution, such as a normal distribution. These tests are also known as "distribution-free tests" and are useful when assumptions for parametric tests are violated, for small sample sizes, or when dealing with nominal or ordinal data. Examples include the Mann-Whitney U test for comparing two independent groups, the Wilcoxon signed-rank test for paired data, and the Kruskal-Wa
- Author
- Meghashiree R
- Language
- EN