Fisher's exact test
Calculator
Result
Fill in the fields in the calculator box and press 'Calculate' for the statistical significance.
Calculator
Result
Fill in the fields in the calculator box and press 'Calculate' for the statistical significance.
Calculator
Result
Fill in the fields in the calculator box and press 'Calculate' for the statistical significance.
Calculator
Result
Fill in the fields in the calculator box and press 'Calculate' for the statistical significance.
Calculator
Upload a tab delimited text file containing multiple contingency tables. Example:
| UID | C1R1 | C1R2 | C1R3 | C2R1 | C2R2 | C2R3 |
| 1 | 15 | 3 | 4 | 7 | 1 | 14 |
| 2 | 8 | 1 | 3 | 3 | 9 | 13 |
| 3 | 7 | 3 | 6 | 2 | 4 | 9 |
Where UID stands for Unique ID, C for Column, and R for Row. UID has to be in sequential order as well as the column and row indices.
Result
Information
Fisher's exact test is a statistical test that can be used to calculate whether there is a significant association between categorical variables. It permits calculation of precise probabilities in situation where sample sizes are small so the normal approximation and chi-square calculations are liable to be inaccurate. Ronald Fisher, the inventor of the test, published the test in 1941 where its first uses were for 2x2 contingency tables.