Calculateur de distribution hypergéométrique
Calculez la probabilité de k succès tirés sans remise.
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Introduction
Hypergeometric Distribution Calculator — Compute probability of k successes drawn without replacement. Enter Population size (N), Successes in population (K), Sample size (n), Successes in sample (k) to get an instant, accurate result.
Formule
PMF: P(X=k) = [C(K,k) × C(N−K, n−k)] / C(N,n), the probability of exactly k successes when drawing n items without replacement from a population of N containing K successes.
Étape par étape
- Enter the Population size (N).
- Enter the Successes in population (K).
- Enter the Sample size (n).
- Enter the Successes in sample (k).
- Click Calculate to see your result instantly.
Exemple concret
Example: With Population size (N) = 20, Successes in population (K) = 7, Sample size (n) = 5, Successes in sample (k) = 2, the Hypergeometric Distribution Calculator gives Probability: 0.3874.
Questions Fréquentes
How is this different from the binomial distribution?
What is a real-world example?
What inputs does the Hypergeometric Distribution Calculator need?
How accurate is the Hypergeometric Distribution Calculator?
Is the Hypergeometric Distribution Calculator free to use?
À propos de Calculateur de distribution hypergéométrique
The Hypergeometric Distribution Calculator uses a real, verifiable formula — PMF: P(X=k) = [C(K,k) × C(N−K, n−k)] / C(N,n), the probability of exactly k successes when drawing n items without replacement from a population of N containing K successes. — so results are accurate every time, not an approximation.