Introducing nonparametric methods. Location estimates for single samples. Distribution tests and rank transformations for single samples. Methods for paired samples. Tests and estimation for two independent samples. Three or more samples. Bivariate and multivariate data. Counts and categories. Robustness, jackknives and bootstraps. Looking ahead.
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