F-Test Calculator
F-Test Calculator
| Quantity | Value |
|---|---|
| Sample 1 Variance (s₁²) | 25.00 |
| Sample 2 Variance (s₂²) | 12.00 |
| Sample 1 Size (n₁) | 15 |
| Sample 2 Size (n₂) | 15 |
| df₁ = n₁ − 1 | 14 |
| df₂ = n₂ − 1 | 14 |
| F-Statistic (s₁² ÷ s₂²) | 2.0833 |
| p-Value (two-tailed) | 0.1821 |
| Conclusion (α = 0.05) | Not significant — variances similar |
The Two Variances
About the F-Test Calculator
The F-test compares two variances under the null hypothesis that they are equal. The statistic F = s₁² ÷ s₂² follows the F distribution with (n₁−1, n₂−1) degrees of freedom; the p-value here is computed directly from the regularized incomplete beta function, matching statistical software to several decimal places.
When to Use It
The two-sample F-test underpins ANOVA (comparing group means assumes comparable variances) and regression F-tests. Because it assumes normality, pair it with the Levene test for skewed data, and remember the test is two-tailed here — a very small F (s₁² ≪ s₂²) is just as informative as a large one.
Frequently Asked Questions
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