New nonparametric tests challenge traditional statistical assumptions for better accuracy.
Nonparametric testing doesn't rely on specific assumptions about data distributions. Sign test looks at data signs, Wilcoxon sign-rank test compares data to median, and Wilcoxon rank-sum test is like t-test but nonparametric. Kruskal-Wallis test is nonparametric version of ANOVA.