Math

Free Poisson Distribution Calculator

Probability of k events given an average rate λ.

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Inputs

Result

P(X = 6)

10.4196%

P(X ≤ 6)88.9326%
Mean and variance (λ)4.000

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Short answer

Probability of k events given an average rate λ.

What is the Poisson Distribution Calculator?

Probability of k events given an average rate λ.

How does the Poisson Distribution Calculator work?

Enter the inputs above and read the result.

Formula

P(X=k) = λᵏe⁻λ ÷ k!

Variables

  • λAverage number of events per interval

Explanation

The Poisson distribution models rare, independent events occurring at a constant average rate.

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            Related concepts

            The Poisson Distribution Calculator sits inside the Math Calculators hub, in the statistics & probability cluster. Describing data and quantifying uncertainty. Understanding the terms below makes the output easier to interpret and easier to compare against neighbouring measures.

            distributiondispersionsignificancesamplepopulationexpected value

            Practical use cases and industry applications

            Understanding Poisson Distribution

            Probability of k events given an average rate λ. Within math calculators, poisson distribution belongs to the statistics & probability cluster, where it shares terminology and assumptions with closely related tools.

            Learning how poisson distribution is calculated

            The Poisson distribution models rare, independent events occurring at a constant average rate. Working through the variables one at a time — λ — makes the result reproducible by hand and easier to sanity-check.

            Using poisson distribution to make a decision

            Because outputs depend on the assumptions you enter, run more than one scenario before committing to a figure.

            How poisson distribution compares with related measures

            distribution, dispersion, significance, sample all describe adjacent aspects of statistics & probability. Comparing this calculator's output against those measures — using the related tools listed on this page — prevents a single metric from being read in isolation.

            Frequently asked questions

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