In statistical analysis, nonparametric tests are powerful tools that allow us to draw meaningful conclusions without making assumptions about the underlying data distribution. Unlike parametric tests that rely on the assumption of normality, nonparametric tests offer a versatile approach, making them ideal for analyzing data sets with unknown or non-normal distributions. Parametric Tests: A Brief OverviewBefore