Barnard's test

In statistics, Barnard's test is an exact test used in the analysis of 2×2 contingency tables with one margin fixed. Barnard's tests are really a class of hypothesis tests, also known as unconditional exact tests for two independent binomials. These tests examine the association of two categorical variables and are often a more powerful alternative than Fisher's exact test for 2×2 contingency tables. While first published in 1945 by George Alfred Barnard, the test did not gain popularity due to the computational difficulty of calculating the p-value and Fisher's disapproval. Nowadays, for small/moderate sample sizes ( n < 1000 ), computers can often implement Barnard's test in a few seconds.

Barnard's test

In statistics, Barnard's test is an exact test used in the analysis of 2×2 contingency tables with one margin fixed. Barnard's tests are really a class of hypothesis tests, also known as unconditional exact tests for two independent binomials. These tests examine the association of two categorical variables and are often a more powerful alternative than Fisher's exact test for 2×2 contingency tables. While first published in 1945 by George Alfred Barnard, the test did not gain popularity due to the computational difficulty of calculating the p-value and Fisher's disapproval. Nowadays, for small/moderate sample sizes ( n < 1000 ), computers can often implement Barnard's test in a few seconds.