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# A to Z of Excel Functions: The POISSON.DIST Function

6 November 2023

Welcome back to our regular A to Z of Excel Functions blog.  Today we look at the POISSON.DIST function.

The POISSON.DIST function Named after the French mathematician Siméon Denis Poisson, the Poisson distribution is the discrete probability distribution of the number of events occurring in a given time period, given the average number of times the event occurs over that time period.  It is used when the variable of interest is a discrete count variable.

For example, a supermarket may have 50 customers per hour on average, with peak numbers occurring at lunchtime (say, there are 100 or more) and at other times the number may dwindle to practically zero .  This distribution can helps calculate the probabilities of busy and quiet times, which can help the manager plan stocking, staffing and scheduling, etc.

One of the most famous historical, practical uses of the Poisson distribution was estimating the annual number of Prussian cavalry soldiers killed due to horse-kicks!  The Poisson distribution also has applications in timetabling, biology (especially mutation detection), finance, disaster readiness, and many other situations where events are time-independent.

The formula for the Poisson probability mass function is where:

• λ is the shape parameter which indicates the average number of events in the given time interval
• is the number of events in the given time.

Here are some examples of plots for different λ values: The formula for the Poisson cumulative probability function is The following is the plot of the Poisson cumulative distribution function with the same values of λ as above: Excel has a function to return this distribution: POISSON.DIST.  Its syntax is:

POISSON.DIST(x, mean, cumulative)

POISSON.DIST has the following arguments:

• x: this is required and represents the number of events
• mean: also required, this is the expected numerical value
• cumulative: this too is required.  This is a 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.

It should be further noted that:

• if x is not an integer, it is truncated
• if x or mean is nonnumeric, POISSON.DIST returns the #VALUE! error value
• if x < 0, POISSON.DIST returns the #NUM! error value
• if mean < 0, POISSON.DIST returns the #NUM! error value. 