Calculadora de distribución hipergeométrica
Calcula la probabilidad de k éxitos extraídos sin reemplazo.
Tabla de amortización
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Crecimiento a lo largo del tiempo
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Introducción
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.
Fórmula
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.
Paso a paso
- 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.
Ejemplo del mundo real
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.
Preguntas Frecuentes
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?
Acerca de Calculadora de distribución hipergeométrica
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.