Written by Computes the harmonic mean of a data set.
Computes the geometric mean of a given dataset.
The GAUSS function calculates the probability that a random variable, sampled from a normal distribution, will lie between the mean and z standard deviations away (either above or below the mean).
Refer to GAMMA.INV for details.
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.
Calculates the inverse of the Fisher transformation for a given value.
Calculates the Fisher transformation of a given value.