This document provides information about non-parametric statistical tests. It discusses the Mann-Whitney U test, chi-square test, and how to perform chi-square tests in SPSS. Key points include: - Non-parametric tests do not assume a specific data distribution and can be used for small sample sizes, ordinal data, or outliers. Examples include Mann-Whitney U, Kruskal-Wallis, and chi-square tests. - Chi-square tests independence between two categorical variables. Assumptions include frequencies data and expected counts over 5 in 80% of cells. - To perform a chi-square test in SPSS, select two categorical variables, choose crosstabs