WorksheetFunction.F_Inv_RT Method
Returns the inverse of the right-tailed F probability distribution. If p = F_DIST_RT(x,...), then F_INV_RT(p,...) = x.
Namespace: Microsoft.Office.Interop.Excel
Assembly: Microsoft.Office.Interop.Excel (in Microsoft.Office.Interop.Excel.dll)
Syntax
'Declaration
Function F_Inv_RT ( _
Arg1 As Double, _
Arg2 As Double, _
Arg3 As Double _
) As Double
'Usage
Dim instance As WorksheetFunction
Dim Arg1 As Double
Dim Arg2 As Double
Dim Arg3 As Double
Dim returnValue As Double
returnValue = instance.F_Inv_RT(Arg1, _
Arg2, Arg3)
double F_Inv_RT(
double Arg1,
double Arg2,
double Arg3
)
Parameters
Arg1
Type: System.DoubleProbability - a probability associated with the F cumulative distribution.
Arg2
Type: System.DoubleDegrees_freedom1 - the numerator degrees of freedom.
Arg3
Type: System.DoubleDegrees_freedom2 - the denominator degrees of freedom.
Return Value
Type: System.Double
Remarks
The F distribution can be used in an F-test that compares the degree of variability in two data sets. For example, you can analyze income distributions in the United States and Canada to determine whether the two countries have a similar degree of income diversity.
If any argument is nonnumeric, F_Inv_RT returns the #VALUE! error value.
If probability < 0 or probability > 1, F_Inv_RT returns the #NUM! error value.
If degrees_freedom1 or degrees_freedom2 is not an integer, it is truncated.
If degrees_freedom1 < 1 or degrees_freedom1 ≥ 10^10, F_Inv_RT returns the #NUM! error value.
If degrees_freedom2 < 1 or degrees_freedom2 ≥ 10^10, F_Inv_RT returns the #NUM! error value.
F_Inv_RT can be used to return critical values from the F distribution. For example, the output of an ANOVA calculation often includes data for the F statistic, F probability, and F critical value at the 0.05 significance level. To return the critical value of F, use the significance level as the probability argument to F_Inv_RT.
Given a value for probability, F_Inv_RT seeks that value x such that F_DIST_RT(x, degrees_freedom1, degrees_freedom2) = probability. Thus, precision of F_Inv_RT depends on precision of F_Dist_RT(Double, Double, Double). F_Inv_RT uses an iterative search technique. If the search has not converged after 64 iterations, the function returns the #N/A error value.