Calcolatore della distribuzione ipergeometrica
Calcola la probabilità di k successi estratti senza reinserimento.
Piano di ammortamento
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Introduzione
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.
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.
Passo dopo passo
- 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.
Esempio pratico
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.
Domande Frequenti
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?
Informazioni su Calcolatore della distribuzione ipergeometrica
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.