Fisher’s Exact Test is a statistical significance test used to examine the association between two categorical variables in a 2Γ2 contingency table, especially when sample sizes are small.
The test calculates the exact probability of obtaining a table at least as extreme as the observed one under the null hypothesis of independence.
Depending on the research question, the alternative hypothesis can be twoβsided, greater, or less, and the pβvalue is summed over all tables that satisfy the chosen direction.
What is Fisher's Exact Test?
When should I use Fisher's Exact Test?
How do I interpret the p-value from this test?
Can Fisher's Exact Test be used for larger sample sizes?
What are the assumptions of Fisher's Exact Test?
How does this calculator compute the p-value?
Can I use this test for more than two categories?
Results are for informational purposes only and do not constitute professional advice.
