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Hypergeometric Calculator

Calculate the probability of exactly k successes in draws without replacement.

Formula and assumptions

Probability of exactly k successes in simple random sampling without replacement.

Results depend on the inputs and assumptions shown. Check units and independently verify important decisions.

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Frequently asked questions

When is the hypergeometric distribution used?

It models draws from a finite population when each item is selected without replacement, such as counting a set number of marked items in a sample.

How is hypergeometric probability calculated?

For exactly k successes, the probability is C(K,k) × C(N−K,n−k) / C(N,n), where N is population size, K is the number of successes, and n is the sample size.

How is it different from the binomial distribution?

The hypergeometric model samples without replacement from a finite population; the binomial model assumes independent trials with a fixed success probability.