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Non-Parametric Methods Overview by kritinigam is a document available to read on EtoBox.
What is Non-Parametric Methods Overview about?
This document discusses non-parametric methods for statistical analysis. Non-parametric methods make fewer assumptions about the distribution of populations compared to parametric methods. Some common non-parametric tests mentioned include the sign test, Wilcoxon matched-pairs test, Mann-Whitney U test, Kruskal-Wallis H test, runs test, and Kolmogorov-Smirnov test. The document also discusses measures of association for different data types, including Pearson correlation for interval/ratio data, Gamma and K
- Author
- kritinigam
- Language
- EN