This problem considers the Poisson distribution, a probability distribution for a discrete random variable which was first used by SimeÂon-Denis Poisson to describe seemingly random criminal events in Paris in 1837. If independent events have a constant tendency to occur and if the average rate of occurrence is a, then the probability that n events actually occur is given by pn ?? eÿaan n! with n ?? 0, 1, 2,. . . 1:
If independent events have a constant tendency to occur and if the average rate of occurrence is a, then the probability that n events actually occur is given by
Pn = "\\frac {e^{-a} \u2022\\ a^{n}}{n!}"
where n= 0,1,2,3......
And
"\\sum_{n=0}^{+\\infty} P_n \\\\" = 1
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