The article reviews nonparametric statistics using Neyman-Pearson and Fisher tests. Nonparametric statistics are used for small samples without assuming a specific distribution, especially in small-volume production. The paper discusses various nonparametric tests like sign test, Wilcoxon test, Mann-Whitney test, Kruskal-Wallis test, Mood test, Friedman test, and run test. It explains the steps for testing hypotheses and determining significance in these tests.