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Poisson Distribution: Properties & Problems by Tanzil Mujeeb yacoob is a document available to read on EtoBox.
The document discusses the Poisson distribution, its properties, examples, and conditions for use. Some key points: 1) The Poisson distribution describes the probability of a number of discrete, rare, independent events occurring in a fixed time period or space. 2) It has one parameter, usually denoted by λ or m, which represents the expected number of occurrences. The mean and variance of the distribution are both equal to this parameter. 3) Examples where the Poisson distribution applies include the n
- Author
- Tanzil Mujeeb yacoob
- Language
- EN