Hypergeometric Distribution Variance Calculator
Enter the population size, number of successes in the population, and sample size.
* Note: The variance is calculated as $$ \sigma^2 = n \frac{K}{N}\left(1-\frac{K}{N}\right)\frac{N-n}{N-1}. $$
Step 1: Enter Parameters
Total number of items in the population.
Number of successes in the population.
Number of items drawn in the sample.
How It Works
The variance of a hypergeometric distribution is given by: $$ \sigma^2 = n \frac{K}{N}\left(1-\frac{K}{N}\right)\frac{N-n}{N-1}. $$
Where:
\(N\) = Population size,
\(K\) = Number of successes in the population,
\(n\) = Sample size.