About this document
Non-Parametric vs Parametric Tests by Soumendra Patra is a document available to read on EtoBox.
The document discusses the differences between parametric and non-parametric tests, highlighting that non-parametric tests do not assume a normal distribution and can be applied to various data types. It outlines advantages and disadvantages of non-parametric tests, as well as specific tests such as the chi-square test, run test, and Mann-Whitney U test, including their applications and procedures. Additionally, it covers the Wilcoxon signed-rank test for paired samples, emphasizing its advantages over simp
- Author
- Soumendra Patra
- Language
- EN