Abstract
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.
Keywords: Chi-square goodness, Sign test, Wilcoxon Signed rank test, Run test for randomness, Mann Whitney U test, Median test, Kruskal-Wallis H test.
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