New Statistical Methods Revolutionize Data Analysis for Multiple Sample Comparisons
The article introduces nonparametric statistics methods like Sign Test, Wilcoxon Signed Rank Test, Mann-Whitney-Wilcoxon Test, Kruskal-Wallis Test, and Friedman's Test. These methods help compare data without assuming a specific distribution. They can be used to analyze single or paired samples, two independent samples, or multiple related samples. The main goal is to provide alternative statistical tools for researchers to analyze their data accurately.