Fisher's Exact Test Calculator

Your details

Use two-tailed unless you had a specific directional hypothesis before collecting data.
Label for the first row (e.g. Treatment, Exposed, Male).
Label for the second row (e.g. Control, Unexposed, Female).
Label for the first column (e.g. Success, Case, Yes).
Label for the second column (e.g. Failure, Control, No).
Count of row-1 observations in column 1.
Count of row-1 observations in column 2.
Count of row-2 observations in column 1.
Count of row-2 observations in column 2.
p-valuep < 0.01 - very significant
0.0055

Exact p-value for the selected test type

Two-tailed p-value0.0055
Odds ratio (OR)36
95% CI for OR2.721 to 476.299
Relative risk (RR)8
Total N20
0.0055
p < 0.001<0.001p < 0.010.001-0.01p < 0.050.01-0.05p < 0.100.05-0.1p >= 0.100.1+

Statistically significant association found (two-tailed p = 0.0055).

  • The exact p-value of 0.0055 is below the conventional 0.05 threshold, so you can reject the null hypothesis of independence.
  • The odds ratio is 36.000: the odds of the event in row 1 are 36.00x higher than in row 2. The 95% CI is 2.721 to 476.299.
  • The relative risk is 8.000: the risk (probability) of the event in row 1 is 8.00x that of row 2.
  • Fisher's exact test uses exact enumeration rather than chi-square approximation, so it is valid for any sample size, including very small ones.

Next stepReport the OR with its 95% CI alongside the p-value for a complete picture of both significance and effect size.

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