Written by Returns the n-th largest value from a dataset, with n defined by the user.
Determines the kurtosis of a dataset, providing insights into its shape and notably its “peakedness.”
Determines the y-value at which the linear regression line derived from a dataset crosses the y-axis (when x=0).
Determines the likelihood of obtaining a specific number of successful outcomes in a series of trials, based on a defined population size that includes a certain number of successes, without replacing the previously drawn samples.
Refer to HYPGEOMDIST function documentation.
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.
Refer to GAMMA.DIST for details.