Written by The GAMMA.INV function calculates the value of the inverse cumulative distribution function for the gamma distribution, using specified probability and parameters alpha and beta.
Calculates the gamma distribution, a continuous probability distribution characterized by two parameters.
Evaluates the Gamma function at a given input value.
Calculates the probability related to an F-test for assessing equality in variances. It evaluates whether two datasets are likely derived from populations with equal variance.
See the FORECAST function.
Estimates the expected y-value of a given x based on a linear regression analysis of a dataset.
Calculates the inverse of the Fisher transformation for a given value.
Calculates the Fisher transformation of a given value.
See F.INV.RT
Refer to F.DIST.RT for reverse calculations.