mhyper: Mean and Variance of the Hypergeometric Distribution
In DescTools: Tools for Descriptive Statistics
mhyper R Documentation
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
See Also
dhyper
Examples
mhyper(m = 20, n = 30, k = 10)
DescTools documentation built on April 4, 2025, 1:55 a.m.
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| mhyper | R Documentation |
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
See Also
dhyper
Examples
mhyper(m = 20, n = 30, k = 10)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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