Calculates the inverse of the left-tailed F probability distribution. Also called the Fisher-Snedecor distribution or Snedecor’s F distribution.
Sample Usage
F.INV(0.42, 2, 3)
F.INV(A2, B2, C2)
Syntax
F.INV(probability, degrees_freedom1, degrees_freedom2)
-
probability
- The probability associated with the left-tailed F-distribution.-
Must be greater than
0
and less than1
.
-
-
degrees_freedom1
- The number of degrees of freedom of the numerator of the test statistic. -
degrees_freedom2
- The number of degrees of freedom of the denominator of the test statistic.
Notes
-
Both
degrees_freedom1
anddegrees_freedom2
are truncated to an integer in the calculation if a non-integer is provided as an argument. -
Both
degrees_freedom1
anddegrees_freedom2
must be at least1
. -
All arguments must be numeric.
See Also
CHIINV
: Calculates the inverse of the right-tailed chi-squared distribution.
FDIST
: Calculates the right-tailed F probability distribution (degree of diversity) for two data sets with given input x. Alternately called Fisher-Snedecor distribution or Snedecor's F distribution.
FINV
: Calculates the inverse of the right-tailed F probability distribution. Also called the Fisher-Snedecor distribution or Snedecor’s F distribution.
FTEST
: Returns the probability associated with an F-test for equality of variances. Determines whether two samples are likely to have come from populations with the same variance.
T.INV
: Calculates the negative inverse of the one-tailed TDIST function.
Example
Suppose you want to find the cutoff for the F statistic associated with a left-tailed cumulative probability of 0.95
.
A | B | C | D | |
---|---|---|---|---|
1 | Probability | Degrees freedom numerator | Degrees freedom denominator | Solution |
2 | 0.95 | 4 | 5 | 5.192167773 |
3 | 0.95 | 4 | 5 | =F.INV(0.95, 4, 5) |
4 | 0.95 | 4 | 5 | =F.INV(A2, B2, C2) |