mhyper: Mean and Variance of the Hypergeometric Distribution

In AndriSignorell/DescTools: Tools for Descriptive Statistics

Mean and Variance of the Hypergeometric Distribution

Description

Formula: \mu = k \cdot \frac{m}{m + n} \mathrm{Var}(X) = k \cdot \frac{m}{m + n} \cdot \frac{n}{m + n} \cdot \frac{m + n - k}{m + n - 1}

Usage

mhyper(m, n, k)

Arguments

m	Number of successes in the population
n	Number of failures in the population
k	Sample size

Value

List with mean and variance

References

Rice, J.A. (2006). Mathematical Statistics and Data Analysis. Cengage Learning.

See Also

dhyper

Examples

mhyper(m = 20, n = 30, k = 10)

AndriSignorell/DescTools documentation built on June 11, 2025, 10:41 p.m.