F-Test Calculator F-Test Calculator (Two-Sample Variance Test) Compare two sample variances and test whether the underlying population variances are equal. We automatically put the larger variance on top. 1. Sample data You can enter either the sample variance (s²) or the sample standard deviation (s). If you fill both for a sample, we will use the variance. Sample 1 n₁ (sample size) s₁² (variance) s₁ (std dev) Sample 2 n₂ (sample size) s₂² (variance) s₂ (std dev) 2. Test setup Significance (α) Tail Two-tailed Right-tailed (var1 > var2) Left-tailed (var1 < var2) Calculate F-test Two-tailed is the default for testing equality of variances. 3. Results F statistic — df₁ — df₂ — p-value — How the F-test works The classical F-test for two variances tests: H₀: σ₁² = σ₂² H₁: σ₁² ≠ σ₂² (two-tailed) or σ₁² > σ₂²

Calculators in F-Test Calculator F-Test Calculator (Two-Sample Variance Test) Compare two sample variances and test whether the underlying population variances are equal. We automatically put the larger variance on top. 1. Sample data You can enter either the sample variance (s²) or the sample standard deviation (s). If you fill both for a sample, we will use the variance. Sample 1 n₁ (sample size) s₁² (variance) s₁ (std dev) Sample 2 n₂ (sample size) s₂² (variance) s₂ (std dev) 2. Test setup Significance (α) Tail Two-tailed Right-tailed (var1 > var2) Left-tailed (var1 < var2) Calculate F-test Two-tailed is the default for testing equality of variances. 3. Results F statistic — df₁ — df₂ — p-value — How the F-test works The classical F-test for two variances tests: H₀: σ₁² = σ₂² H₁: σ₁² ≠ σ₂² (two-tailed) or σ₁² > σ₂².