Statistical

F.INV Formula

Returns the inverse of the left-tailed F cumulative distribution. Given a probability and two degrees of freedom, it returns the F-value at that percentile. This function is less commonly used than F.INV.RT, but it appears in certain variance testing scenarios and confidence interval calculations.

Syntax

F.INV(probability, deg_freedom1, deg_freedom2)
ParameterDescription
probability Parameter of the F.INV function.
deg_freedom1 Parameter of the F.INV function.
deg_freedom2 Parameter of the F.INV function.
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Examples

95th percentile F-value

Formula
=F.INV(0.95, 3, 20)
Returns ~3.098. 95% of the F-distribution with 3 and 20 df falls below this value.

Lower bound for variance ratio CI

Formula
=F.INV(0.025, 14, 19)
Returns ~0.3505. Used as the lower multiplier when constructing a confidence interval for the ratio of two variances.

Median of F-distribution

Formula
=F.INV(0.5, 5, 10)
Returns ~0.9319. The median F-value with 5 and 10 df is slightly less than 1.

Common Errors

#NUM!

Probability must be between 0 and 1 (inclusive). Both degrees of freedom must be at least 1.

#VALUE!

Occurs when arguments are non-numeric.

Tips

Left-tailed vs right-tailed

F.INV returns the left-tail inverse. For finding critical values for ANOVA and F-tests (which reject in the right tail), use F.INV.RT instead.

Reciprocal relationship

F.INV(p, df1, df2) = 1 / F.INV.RT(p, df2, df1). You can convert between left and right tail inverses by taking the reciprocal and swapping df.

Variance ratio CI

To construct a CI for the ratio of two variances: lower = (s1^2/s2^2) * F.INV(alpha/2, n2-1, n1-1), upper = (s1^2/s2^2) * F.INV(1-alpha/2, n2-1, n1-1).

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