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Non-Parametric Tests for Data Analysis by Tran Thi Quang Linh is a document available to read on EtoBox.

This document provides an overview of non-parametric statistical tests that can be used for analyzing research data when the assumptions of parametric tests are not met. It discusses the Mann-Whitney U test, which is used to compare two independent groups when the dependent variable is measured on a scale level but is not normally distributed. It also covers the Kruskal-Wallis H test, which is the non-parametric equivalent of a one-way ANOVA and can be used to compare three or more independent groups on a s

Author

Tran Thi Quang Linh

Language

EN