Nonparametric tests

This chapter gives the methods and tools for the tests when the data do not satisfy the normality assumption, i.e., nonparametric tests. These tests include chi-square goodness-of-fit test, the single sample tests, i.e., Sign test, Wilcoxon signed rank test, run test for randomness, and also two samples and more than two-sample nonparametric tests, which include the Mann-whitney U test, median test and the Kruskal-Wallis H test test. nbsp;