When X1, X2, … , Xnare independent Poisson variables, each with parameter μ, and n is large, the sample mean has approximately a normal distribution with and . This implies that
has approximately a standard normal distribution. For testing H0: μ = μ0, we can replace μ by μ0 in the equation for Z to obtain a test statistic. This statistic is actually preferred to the large-sample statistic with denominator (when the Xi’s are Poisson) because it is tailored explicitly to the Poisson assumption. If the number of requests for consulting received by a certain statistician during a 5-day work week has a Poisson distribution and the total number of consulting requests during a 36-week period is 160, does this suggest that the true average number of weekly requests exceeds 4.0? Test using α = .02.
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