The article discusses nonparametric tests as an alternative to parametric tests when certain conditions are not met or when dealing with qualitative variables. It compares the differences, advantages, and disadvantages of parametric and nonparametric tests. The assumptions for nonparametric tests are outlined, helping to determine when to use each type of test. The tests are solved both analytically and using statistical software, with the results being interpreted.