Chapter 12  Nonparametric Tests

Introduction

Performing a Wilcoxon Rank-Sum Test

Performing a Wilcoxon Signed-Rank Test (for Paired Data)

Performing a Kruskal-Wallis One-Way ANOVA

Comparing Spread: The Ansari-Bradley Test

Converting Data Values into Ranks

Using PROC RANK to Group Your Data Values

Conclusions

Introduction

SAS provides several nonparametric tests, such as the Wilcoxon rank-sum test, the Wilcoxon signed-rank test, and a Kruskal-Wallis analysis of variance. This chapter describes these tests, as well as a way to convert your data values to ranks, so that you can then run parametric tests on the ranked data.

Performing a Wilcoxon Rank-Sum Test

As an example, suppose you want to test whether incomes in the Salary data set are equal ...

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