Introduction to biostatistics: Part 5, statistical inference techniques for hypothesis testing with nonparametric data

Specific statistical tests are used when the null hypothesis (Ho) is to be tested using nonparametric nominal or ordinal data. With nominal data, experimental results are expressed by proportions or frequencies. Chisquare or related tests (the Fisher's exact test or the rows by columns test) are appropriate for testing Ho with nominal data. Ordinal data permit arrangement of statistical results by rank. Rank-order tests used to test Ho with ordinal data include the Mann-Whitney U, Kolmogorov-Smirnov, Wilcoxon, Kruskal-Wallis, and Friedman tests. The Kruskal-Wallis and Friedman tests permit multiple intergroup comparisons. Other rank-order tests permit only single intergroup comparisons. Specific details to guide the researcher in the proper selection of these tests are presented.