Poisson Distribution

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Streams of events in time that satisfy certain conditions can form what is called a Poisson process. The number of events observed in a unit of time follows a Poisson distribution. Use the slider to adjust the "intensity" of the process—the average number of events in a unit of time—and watch how the overall distribution changes.
Contributed by: Chris Boucher (March 2011)
Open content licensed under CC BY-NC-SA
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"Poisson Distribution"
http://demonstrations.wolfram.com/PoissonDistribution/
Wolfram Demonstrations Project
Published: March 7 2011