According to the Poisson distribution, the probability of a value to take the value k:
P(X=k)=λkk!e−λP(X=k)=\frac{\lambda^k}{k!}e^{-\lambda}P(X=k)=k!λke−λ
We know
E(X)=λ=0.4E(X)=\lambda=0.4E(X)=λ=0.4
Then:
P(X>0)=1−P(0)=1−e−0.4≈0.33P(X>0)=1-P(0)=1-e^{-0.4}\approx0.33P(X>0)=1−P(0)=1−e−0.4≈0.33
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Dear Nana Kwame, please use the panel for submitting new questions.
A discrete random variable has probability mass function, P(X = n) =1 2n. Let Y = 1, for x even −1, for x odd Find the expected value of Y ; (E[y]).
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Dear Nana Kwame, please use the panel for submitting new questions.
A discrete random variable has probability mass function, P(X = n) =1 2n. Let Y = 1, for x even −1, for x odd Find the expected value of Y ; (E[y]).