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Binomial Distribution Calculator

The probability of getting exactly, at most, or at least a given number of successes in a fixed number of independent trials.

The binomial distribution counts successes in n independent trials that each succeed with the same probability p — coin flips, free throws, defective parts.

Between 0 and 1 — 0.5 for a fair coin
Results update as you type
Results
P(X = k)
20.5078%
P(X ≤ k)
P(X ≥ k)
Expected successes
Standard deviation
Ways to arrange k successes
Reviewed September 2026. Pure mathematics: the result does not depend on where you are. Terminology follows US usage (math, parentheses, decimal point).
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About binomial distribution

How the binomial distribution calculator works

The binomial distribution counts successes in n independent trials that each succeed with the same probability p — coin flips, free throws, defective parts. The probability of exactly k successes is C(n,k) × pᵏ × (1−p)ⁿ⁻ᵏ: the number of ways to arrange k successes among n trials, multiplied by the probability of any one such arrangement.

The two conditions matter. Trials must be independent, so drawing cards without replacement is not binomial, and p must be the same each time, so a shooter who tires is not either.

Formula: P(X = k) = C(n,k) pᵏ (1−p)ⁿ⁻ᵏ

Worked examples

InputsP(X = k)Note
6 heads in 10 fair coin flips20.5078%20.51%
Exactly 5 heads in 1024.6094%24.61% — the most likely single outcome
No sixes in 6 dice rolls33.4898%33.5%

Frequently asked questions

When is a distribution binomial?

When there is a fixed number of independent trials, each with the same probability of success, and you are counting successes.

What is the probability of 6 heads in 10 flips?

20.51%. Five heads is the single most likely outcome at 24.61%, though it is still less likely than not.

Why is C(n,k) in the formula?

Because there are many orders in which k successes can occur among n trials, and each is equally likely.

When is it not binomial?

When trials are not independent — drawing cards without replacement — or the probability changes between trials.

What is the mean and spread?

The mean is n × p and the standard deviation √(n p (1−p)).

Where these figures come from

Last checked: September 2026. Formulas are fixed by mathematics and do not change with tax years or regulations.