Poisson Distribution Calculator
Calculate Poisson probabilities P(X=x) and cumulative probabilities from rate lambda and number of occurrences.
What Is the Poisson Distribution?
The Poisson distribution models the count of rare, independent events over a fixed interval when the average rate is known. It is widely used for arrivals, defects, and event counts. Related tools: Geometric Distribution Calculator and Binomial Probability Distribution Calculator.
Poisson Probability Formula
The probability mass function is:
$$P(X = x) = \frac{e^{-\lambda} \lambda^x}{x!}$$
Where $\lambda$ is the average rate of occurrences and $x$ is a non-negative integer.
Mean and Standard Deviation
For a Poisson distribution, the mean and variance both equal $\lambda$, so the standard deviation is $\sqrt{\lambda}$.
Frequently Asked Questions
When should I use the Poisson distribution?
Use it when events are independent, occur at a roughly constant average rate, and two events cannot happen at the exact same instant.
What is lambda in this calculator?
Lambda ($\lambda$) is the expected number of occurrences in the interval you are analyzing.
How is Poisson related to the binomial distribution?
Poisson approximates binomial counts when $n$ is large and $p$ is small while $np$ stays moderate.
Can x be negative or non-integer?
No. The Poisson random variable counts events, so x must be a non-negative integer.