Parametric tests are what most people are familiar with and first introduced to when learning statistics. Parametric tests make assumptions about the underlying distributions or the process. In contrast, non-parametric tests are also called distribution-free tests because they don't assume the process follows a specific distribution. ^[parametric stats generally refers to processes that can be described by a specific distribution type and its parameters.] Parametric tests all rely on the mean while non-parametric tests rely on the median. ## Resources - [Choosing Between a Nonparametric Test and a Parametric Test](https://blog.minitab.com/en/adventures-in-statistics-2/choosing-between-a-nonparametric-test-and-a-parametric-test) --- - Links: [[Statistics]] [[Statistical Tests]] [[Hypothesis testing]] [[All Of Statistics - Larry Wasserman - Ch 7]] - Created at: [[2021-10-24]]