Chapter 4

Statistical analysis

Abstract

Statistical analysis is a powerful tool that helps us find patterns and differences in the data as well as identify relationships between variables. The nature of the data collected and the design of the study determine the appropriate significance test that should be used. If the data are normally distributed and scaled at intervals, parametric tests are appropriate. Otherwise, nonparametric tests should be considered. Various statistical methods are available for comparing the means of multiple groups. This chapter introduces different types of t tests and ANOVA tests as examples of commonly used parametric tests for comparing means. Examples of nonparametric tests (e.g., the Chi-square test, the Mann-Whitney ...

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