Returns the Poisson distribution. A common application of the Poisson distribution is predicting the number of events over a specific time, such as the number of cars arriving at a toll plaza in 1 minute.

POISSON.DIST takes 3 required arguments and no optional arguments:

Syntax: POISSON.DIST(x, mean, cumulative)

The arguments for the POISSON.DIST function are:
Argument Required? Description
x Required The number of events.
mean Required The expected numeric value
cumulative Required logical value that determines the form of the probability distribution returned. If cumulative is TRUE, POISSON.DIST returns the cumulative Poisson probability that the number of random events occurring will be between zero and x inclusive; if FALSE, it returns the Poisson probability mass function that the number of events occurring will be exactly x.
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