Lecture16_Chapter3 - Lecture 16 Chapter 3 Monday, October...

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Lecture 16 – Chapter 3 Monday, October 20 th
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Poisson Distribution ± A random variable X is said to have a Poisson distribution with parameter if the pmf of X is ± Where x=0,1,2,… 0 λ> () ! x e px x λ =
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Cases ± There are many cases where a random variable is said to follow a Poisson Distribution: ² As a limit of Binomial ² As a count like the following cases: ± Number of typos per page in a book ± Number of people arriving per minute on a counter
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This note was uploaded on 09/23/2009 for the course STAT 318 taught by Professor Staff during the Fall '08 term at Pennsylvania State University, University Park.

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Lecture16_Chapter3 - Lecture 16 Chapter 3 Monday, October...

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