Fisher’s Exact Test Calculator
Expert Guide to Fisher’s Exact Test
Introduction & Importance
Fisher’s Exact Test is a statistical method used to determine if there’s a significant association between two categorical variables. It’s particularly useful when working with small sample sizes…
How to Use This Calculator
- Enter the values for A, B, C, and D in the input fields.
- Click the ‘Calculate’ button.
- View the results and chart below.
Formula & Methodology
The test is based on the hypergeometric distribution and compares the observed value with the distribution of possible values…
Real-World Examples
Case Study 1: Drug Efficacy
Suppose a clinical trial has 10 patients, with 6 in the treatment group and 4 in the control group. After the trial, 4 patients in the treatment group and 2 in the control group showed improvement…
Data & Statistics
| Variable | Control Group | Treatment Group |
|---|---|---|
| Improved | 2 | 4 |
| Not Improved | 2 | 2 |
Expert Tips
- Fisher’s Exact Test is a two-tailed test, so you need to consider both tails when interpreting the results.
- It’s sensitive to small sample sizes, so it’s often used in clinical trials and other studies with limited data.
Interactive FAQ
What are the assumptions of Fisher’s Exact Test?
The test assumes that the observations are independent and that the variables are categorical.
CDC Statistics – UK Office for National Statistics – BLS Glossary