Statistics

Hypergeometric Distribution Calculator

Find the probability of k successes when sampling without replacement.

Parameters Live Compute
Calculated Output
P(X = k) 0.2995
Formula: P = C(K,k)·C(N−K,n−k) ÷ C(N,n)
Step-by-Step Breakdown
1. Values used:
2. Population size = 52
3. Successes in population = 4
4. Sample size = 5
5. Successes drawn = 1
6.
7. P(X = k) = 0.2995
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The hypergeometric distribution models successes when drawing without replacement.

The math behind it

P(X = k) = C(K,k)·C(N−K,n−k) ÷ C(N,n), for a population of N with K successes.

Worked Example

Drawing 5 cards, P(exactly 1 ace) ≈ 0.299.

Frequently Asked Questions

Hypergeometric vs binomial?

Binomial samples with replacement; hypergeometric without.

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