Nonparametric Statistics: A Step-by-Step Approach, 2nd Edition

“…a very useful resource for courses in nonparametric statistics in which the emphasis is on applications rather than on theory.  It also deserves a place in libraries of all institutions where introductory statistics courses are taught.” –CHOICE

This Second Edition presents a practical and understandable approach that enhances and expands the statistical toolset for readers. This book includes:

• New coverage of the sign test and the Kolmogorov-Smirnov two-sample test in an effort to offer a logical and natural progression to statistical power
• SPSS® (Version 21) software and updated screen captures to demonstrate how to perform and recognize the steps in the various procedures
• Data sets and odd-numbered solutions provided in an appendix, and tables of critical values
• Supplementary material to aid in reader comprehension, which includes: narrated videos and screen animations with step-by-step instructions on how to follow the tests using SPSS; online decision trees to help users determine the needed type of statistical test; and additional solutions not found within the book.

Table of Contents

Chapter 1: Nonparametric Statistics: An Introduction
Chapter 2: Testing Data For Normality
Chapter 3: Comparing Two Related Samples: The Wilcoxon Signed Rank And The Sign Test
Chapter 4: Comparing Two Unrelated Samples: The Mann−Whitney U-Test And The Kolmogorov−Smirnov Two-Sample Test
Chapter 5: Comparing More Than Two Related Samples: The Friedman Test
Chapter 6: Comparing More Than Two Unrelated Samples: The Kruskal–Wallis H-Test
Chapter 7: Comparing Variables Of Ordinal Or Dichotomous Scales: Spearman Rank-Order, Point-Biserial, And Biserial Correlations
Chapter 8: Tests For Nominal Scale Data: Chi-Square And Fisher Exact Tests
Chapter 9: Test For Randomness: The Runs Test
Appendix A: Spss At A Glance
Appendix B: Critical Value Tables