Fisher's Exact Test is a statistical test used to determine if there are nonrandom associations between two categorical variables. It is particularly useful in the field of epidemiology for analyzing contingency tables, especially when sample sizes are small. Unlike the Chi-square test, Fisher's Exact Test does not rely on large sample approximations, making it ideal for small datasets.
