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Poisson distribution has the following qualities: the data type is counts; it is the expected number of a occurrences of a low-probability event from a
Poisson distribution has the following qualities: the data type is counts; it is the expected number of a occurrences of a low-probability event from a large number of such events it is a special case of binominal distribution with n is large and p is small simplifies to an equation where mean and variance are same; you dont need to know variance when you know the mean (expected value) 
Poisson distribution has the following qualities: the data type is counts; it is the expected number of a occurrences of a low-probability event from a large number of such events it is a special case of binominal distribution with n is large and p is small simplifies to an equation where mean and variance are same; you dont need to know variance when you know the mean (expected value)
Poisson distribution has the following qualities: the data type is counts; it is the expected number of a occurrences of a low-probability event from a large number of such events it is a special case of binominal distribution with n is large and p is small simplifies to an equation where mean and variance are same; you dont need to know variance when you know the mean (expected value)
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