מחשבון התפלגות היפרגיאומטרית
חשב את ההסתברות ל-k הצלחות בדגימה ללא החזרה.
לוח סילוקין
| # | תשלום | קרן | ריבית | יתרה |
|---|---|---|---|---|
צמיחה לאורך זמן
| שנה | הושקע | ערך |
|---|---|---|
מבוא
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.
נוסחה
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.
צעד אחר צעד
- 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.
דוגמה מהעולם האמיתי
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.
שאלות נפוצות
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?
אודות מחשבון התפלגות היפרגיאומטרית
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.