A simple way to remember the difference is to associate "parametric" with "parameters" of a population, like the mean and standard deviation, which are central to tests like the t-test and Pearson correlation. Nonparametric tests, like Spearman's and Mann-Whitney U, often work with ranks or medians instead of means.