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Normal approximation to Poisson distribution

Normal Approximation to Poisson is justified by the Central Limit Theorem. If \(Y\) denotes the number of events occurring in an interval with mean \(\lambda\) and variance \(\lambda\), and \(X_1, X_2,\ldots, X_\ldots\) are independent Poisson random variables with mean 1, then the sum of \(X\)'s is a Poisson random variable with mean \(\lambda\). This site provides analytical description of this fact and includes an example.
Identifier: 
https://onlinecourses.science.psu.edu/stat414/node/180
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Average: 3 (270 votes)
Creator(s): 
PSU STAT 415 Instructors
Cataloger: 
Ivo Dinov
Publisher: 
The Pennsylvania State University
Rights: 
Penn State University