Poisson distribution, a well-known discrete probability distribution, shows the likelihood of an event occurring within a specified time interval. These events are assumed to take place with a known average rate of success (given by the mean of the distribution) and independent of the last event.
If Random variable X, the number of events in a given interval, is distributed with mean (λ) and variance (σ² = λ), the probability of observing x events in n (many) trials when the probability of success λ /n is small, is obtained by:
P(X=x) = (e-λ * λx) / x!
, where x=0, 1, 2, 3, 4, … and P(X=x) is the Poisson probability and we say X follows a Poisson distribution with parameter λ.
The calculations provide either an exact probability or a cumulative probability, which refers to the probability that the Poisson random variable is greater or less than some specified limit. In contrast to a Binomial distribution that always has a finite upper bound, a Poisson random variable can take on any positive integer value. Poisson distribution has application in biological sciences, such as in predicting cell mutation within a large population.
Poisson random variable (x) | |
Average rate of success (λ) |
MLA | "Quest Graph™ Poisson Distribution Calculator." AAT Bioquest, Inc., 24 Sep. 2025, https://www.aatbio.com/tools/poisson-distribution-online-calculator. | |
APA | AAT Bioquest, Inc. (2025, September 24). Quest Graph™ Poisson Distribution Calculator. AAT Bioquest. https://www.aatbio.com/tools/poisson-distribution-online-calculator. | |
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