A Gentle Introduction to Non-Parametric Statistics (15-1)
Research By Design
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A Gentle Introduction to Non-Parametric Statistics explains how to analyze ordinal and nominal data without assuming normality by using robust, easy-to-calculate tests like Mann-Whitney U, Kruskal-Wallis, and chi-square, especially when parametric methods fail.
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The main advantage of nonparametric statistics is that they do not require restrictive assumptions about the distribution.
—Research By Design
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