Abstract
The purpose of the work is to summarize information on the basic methods of data analysis presented at nominal scales.The methodology for describing relative values is presented, and the criteria for comparing groups in this case are also considered. In particular, the conditions andalgorithms for using the Pearson 2 test, the Fisher exact test, the odds ratio, the relativerisk, and the McNemar test are presented. Practical examples are considered by allcriteria.Conclusions. It is determined that Pearson test 2 for comparison of independent samplesis recommended for statistical analysis of medical research results, if in all cells thenumber is greater than 10;Fisher's exact test to compare small independent samples; odds ratio for assessingrelative risk in case studies;relative risk for prospective research analysis; McNemar test for comparison ofdependent samples.
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