How to use
The Poisson distribution models a count of events in a fixed time or space interval when the expected mean λ is known and a constant-rate, independent-event model is appropriate.
- Enter mean λ from 0 to 1000.
- Enter integer event count k from 0 to 10,000.
- Calculate P(X=k), P(X≤k), P(X≥k), mean, variance and standard deviation.
How it is calculated
Example
Example: with λ=4 and k=2, P(X=2)≈14.65% and P(X≤2)≈23.81%.
Important notes
The calculator uses numerically stable cumulative-probability formulas instead of naively summing a large number of terms. Whether the result is a good real-world model depends on the Poisson assumptions fitting the data.
Frequently asked questions
Exact versus at least?
P(X=k) is one count, while P(X≥k) includes k and every larger count.
What happens at λ=0?
Then X=0 with probability 1 and every positive count has probability 0.
Is this calculator free?
Yes. It is free to use and requires no account.