Tag non-parametric methods

Non-parametric methods in statistics refer to techniques that do not assume a specific distribution for the data, making them particularly useful for analyzing ordinal data or when sample sizes are small. These methods include tests such as the Wilcoxon signed-rank test and the Kruskal-Wallis test, which are robust alternatives to their parametric counterparts.