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## 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

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.