Hypergeometrische verdeling calculator
Bereken de kans op k successen bij trekken zonder teruglegging.
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Inleiding
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.
Stap voor stap
- 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.
Praktijkvoorbeeld
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.
Veelgestelde Vragen
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?
Over Hypergeometrische verdeling calculator
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.