QMS 102 Chapter : Session-8.doc

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Xp e x x mm x where m is the mean number of occurrences, and. Poisson (french, 1781 1840) in 1837. The poisson random variable has a tremendous range of applications in diverse area because it may be used as an approximation for a binomial distribution with parameters (n, p) when n is large and p is small enough so that is a moderate size. np=m. Business statistics i dr. changping wang: the number of wrong telephone numbers that are dialed in a day, the number of packages of dog food sold in a particular store each day, the number of customers entering in a post office on a given day, the number of passengers waiting for a street car during a time period on a bus stop, the number of earthquakes in an area during a year, the number of suicides in a city in a given month, the number of accidents per month at a certain intersection.

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