Binomial Distribution Calculator
Exact P(X=k), P(X≤k), P(X≥k), plus the normal approximation with continuity correction. Compares the two so you can see when approximation is safe.
Setup
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Result
Distribution (exact vs normal approx)
Table
| k | P(X=k) | P(X≤k) | P(X≥k) |
|---|
When to use exact vs approximation
Use the exact binomial unless n is so large that computing C(n,k) blows up. The normal approximation with continuity correction is typically accurate within ~0.5% when np ≥ 10 and n(1−p) ≥ 10. For small n or extreme p, stick with exact.
Who uses it
- A/B testers computing the probability of seeing k conversions out of n trials.
- Quality engineers computing lot-defect probabilities.
- Students doing probability homework.
Limitations
- Assumes independent trials with constant p — fails for "batting averages" (where success probability changes).
- For drawing without replacement, use Hypergeometric instead.