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Binomial Probability Calculator

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Find exact-success probability and cumulative probability for independent binary trials.

Your inputs

trials
successes
%

Example values are shown. Edit them for your calculation.

Inputs stay in this page. No account needed.

Your result

MATH

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Next steps

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On this page How it works & practical examples

How to use the Binomial Probability Calculator

All trials must have the same success probability and be independent. The cumulative row is the probability of at most the entered number of successes.

The calculation

P(X=k) = C(n,k) p^k (1−p)^(n−k)

Worked example

For ten independent trials at 50% success probability, exactly three successes have 11.7188% probability.

Assumptions and limits

The probability model does not establish independence or estimate the success rate from data. Supports at most 1,000 trials; very small probabilities may round to zero in the display.

Common questions

Which inputs should I use?

All trials must have the same success probability and be independent. The cumulative row is the probability of at most the entered number of successes.

What does the result exclude?

The probability model does not establish independence or estimate the success rate from data. Supports at most 1,000 trials; very small probabilities may round to zero in the display.

References

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