R is the perfect language for creating a variety of chi-square tests, which are used to perform statistical analyses of counts of data. Here's how, with some sample code. A chi-square test (also ...

A chi-square (also called chi-squared) test is a classical statistics technique that can be used to determine if observed-count data matches expected-count data. For example, suppose you have three ...

Fisher’s exact test is a statistical hypothesis test used to assess the association between two binary variables in a contingency table and is particularly useful when working with small sized samples ...

A statistical test that allows one to determine whether observed quantities of a specific characteristic differed from the expected value purely by chance.

In view of the fact that the sample size needed for a specified power does not vary linearly with effect size, the traditional approach typically leads to less power than is desired for the specified ...

One is the widely taught Pearson chi-square test, which uses the well-known χ2 statistic. The chi-square test is appropriate for large sample inference, and it is equivalent to the Z-test that uses ...

In this article, we explore the theory, assumptions and interpretation of the Fisher’s exact test, used to investigate associations between two categorical, binary variables with small sample sizes, ...