Parametric statistical tests are based on certain assumptions about unobservable population distributions. If these assumptions are incorrect, the parametric tests are likely to yield misleading results (and should therefore not be used). Yet we never know for certain what the population distributions are, so we cannot know for certain if these assumptions are justified. Nonparametric tests do not require such assumptions. Why, then, do psychological researchers often use parametric tests?