The document explains nonparametric statistical methods, defining them as tests that do not rely on assumptions about the probability distribution of the sampled population, unlike parametric models. It outlines different scales of measurement (nominal, ordinal, interval, ratio), contrasting parametric test procedures, which require certain assumptions and population parameters, with nonparametric tests that make fewer assumptions and can be applied to various data scales. The advantages and disadvantages of nonparametric tests are discussed, along with examples of tests used for independent and dependent groups.