Nonparametric tests
- Authors: Muhammad Arslan Nasir1, Hassan S. Bakouch2, Farrukh Jamal3
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View Affiliations Hide Affiliations1 Department of Statistics Govt. S.E College Bahawalpur Punjab, Pakistan 2 Department of Mathematics, Faculty of Science Tanta University Tanta, Egypt 3 Department of Statistics Islamia University of Bahawalpur Punjab, Pakistan
- Source: Introductory Statistical Procedures with SPSS , pp 175-209
- Publication Date: March 2022
- Language: English
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This chapter gives the methods and tools for the tests when the data do not satisfy the normality assumption, i.e., nonparametric tests. These tests include chi-square goodness-of-fit test, the single sample tests, i.e., Sign test, Wilcoxon signed rank test, run test for randomness, and also two samples and more than two-sample nonparametric tests, which include the Mann-whitney U test, median test and the Kruskal-Wallis H test test.<br>
Hardbound ISBN:
9789815039030
Ebook ISBN:
9789815039023
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