Nonparametric Statistics: An Introduction

by Jean Dickinson Gibbons

Through the use of actual research investigations that have appeared in recent social science journals, Gibbons shows the reader the specific methodology and logical rationale for many of the best-known and most frequently used nonparametric methods that are applicable to most small and large sample sizes. The methods are organized according to the type of sample structure that produced the data to be analyzed, and the inference types covered are limited to location tests, such as the sign test, the Mann-Whitney-Wilcoxon test, the Kruskal-Wallis test and Friedman′s test. The formal introduction of each test is followed by a data example, calculated first by hand and then by computer.

96 pages, Paperback

First published October 7, 1992