Lauren is just crazy about the Poisson distribution, it’s all she talks about. One day she tells Ruben that if X is a random variable following the Poisson distribution, then it can be shown that P(n ≤ X ≤ n + 1) =[[ (e^−λ)(λ^( n+1)] / (n + 1)! ]+ FX(n) (where FX(n) is the CDF of the Poisson distribution). Show that this is true by showing your computations.
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