Kongruenztests
Kongruenztests, also known as congruence tests, are statistical methods used to determine whether two or more categorical variables are independent of each other. These tests are commonly applied in fields such as epidemiology, social sciences, and biology to assess associations between variables that are measured categorically.
The most widely used Kongruenztest is the Chi-Square Test of Independence, which compares observed frequencies in
Another variant is Fisher’s Exact Test, which is used when sample sizes are small, making the Chi-Square
Kongruenztests rely on the assumption that the sample is randomly selected and that expected frequencies in
These tests are not limited to binary variables but can be applied to any categorical data structured