This calculator finds the probability of an event occurring a certain number of times ( in a fixed interval of time or space when the mean number of events is known. This type of probability distribution is known as a Poisson distribution. Calculation
Output
P(X=k)=k!e−λλk - is a random variable following a Poisson distribution (unitless)
- is the number of times an event occurs (unitless)
- is the mean number of times an event occurs (unitless)
- is Euler's constant (approximately 2.718)
- is the factorial function
- is the probability mass function, the probability that an event will occur times
Explanation
The Poisson distribution is a discrete probability distribution that describes the probability of an event occurring a certain number of times () in a fixed interval of time or space when the mean number of events () is known. It applies to problems in which random events occur independently of each other at a known average rate. A Poisson distribution can be represented visually as a graph of the probability mass function. A probability mass function is a function that describes a discrete probability distribution.
Poisson distributions of three random independent events, based on their λ values
The most probable number of events is represented by the peak of the distribution, called the mode. When is: - a non-integer, the mode is the closest integer smaller than
- an integer, there are two modes: and
When is low, then the distribution is strongly rightly skewed. As increases, the distribution looks more balanced. In fact as , Poisson distribution tends to a normal distribution. Related Resources
- https://www.scribbr.com/statistics/poisson-distribution/
- https://www.geeksforgeeks.org/poisson-distribution/
- https://www.statology.org/poisson-distribution-real-life-examples/