The final factor that we need to consider is the set of assumptions of the test. All parametric tests assume that the populations from which samples are drawn have specific characteristics and that samples are drawn under certain conditions. These characteristics and conditions are expressed in the assumptions of the tests. Nonparametric tests make assumptions about sampling (random) and the independence or dependence of samples (varies by test) but make no assumptions about the population.