Answer to Question #341138 in Statistics and Probability for Hilka

Question #341138

A short term insurance company receives three motor vehicle claims, on average, per day. Assume that the daily claims follow a Poisson process.

Required:

a) What is the probability that at most two motor vehicle claims are received in any given day?

b) What is the probability that more than two motor vehicle claims are received in any given period

of two days?


1
Expert's answer
2022-05-17T00:18:27-0400

We have a Poisson distribution,

"\u03bb=3;\\\\\nP_t(X=k)=\\cfrac{(\\lambda t)^k\\cdot e^{-\\lambda t}}{k!}=\\cfrac{(3t)^k\\cdot e^{-3t}}{k!}.\\\\\n\\text{a) } P_1(X\\le2)=\\\\\n=P_1(X=0)+P_1(X=1)+P_1(X=2)=\\\\\n=\\cfrac{(3\\cdot1)^0\\cdot e^{-3\\cdot1}}{0!}+\\cfrac{(3\\cdot1)^1\\cdot e^{-3\\cdot1}}{1!}+\\\\\n+\\cfrac{(3\\cdot1)^2\\cdot e^{-3\\cdot1}}{2!}=\\\\\n=0.0498+0.1494+0.2240=0.4232."

"\\text{b) } P_2(X>2)=1-P_2(X\\le2)=\\\\\n=1-(P_2(X=0)+P_2(X=1)+P_2(X=2)) ;\\\\\nP_2(X=0)=\\cfrac{(3\\cdot2)^0\\cdot e^{-3\\cdot2}}{0!}=0.0025;\\\\\nP_2(X=1)=\\cfrac{(3\\cdot2)^1\\cdot e^{-3\\cdot2}}{1!}=0.0149;\\\\\nP_2(X=2)=\\cfrac{(3\\cdot2)^2\\cdot e^{-3\\cdot2}}{2!}=0.0446;\\\\\nP_2(X>2)=1-(0.0025+0.0149+0.0446)=0.9380."


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