In an increasingly data-driven world, it is more important than ever for students as well as professionals to better understand basic statistical concepts. 100 Questions (and Answers) About Statistics addresses the essential questions that students ask about statistics in a concise and accessible way. It is perfect for instructors, students, and practitioners as a supplement to more comprehensive materials, or as a desk reference with quick answers to the most frequently asked questions.

How Can I Use Nonparametric Tests to Test for Significance?

How Can I Use Nonparametric Tests to Test for Significance?

Most of the questions in these last few sections of 100 Question (and Answers) About Statistics have dealt with parametric tests or those that are based on a relatively large sample. But many situations call for nonparametric tests—tests on populations that are not adequate in size or have other characteristics that lend themselves only to nonparametric procedures.

What follows is a summary table of some of the more important nonparametric procedures, including the name of the test, when it is used, and an example.

Test Name

When the Test Is Used

Sample Research Question

McNemar test for significance of changes

To examine “before and after” changes

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