a) Consider a consulting firm in a particular city where past records show that on average 6 customers arrive daily to seek consulting services. The demand for consulting services in the firm is distributed according to a Poisson distribution. Calculate the probability of exactly 0, 1, 2 and 3 customers arriving for the consulting services.
Let "X=" the number of customers arriving for the consulting services: "X\\sim Po(\\lambda)"
Given "\\lambda=6"
"P(X=1)=\\dfrac{e^{-\\lambda}\\cdot \\lambda^1}{1!}=\\dfrac{6e^{-6}}{1}\\approx0.014873"
"P(X=2)=\\dfrac{e^{-\\lambda}\\cdot \\lambda^2}{2!}=\\dfrac{36e^{-6}}{2}\\approx0.044618"
"P(X=3)=\\dfrac{e^{-\\lambda}\\cdot \\lambda^3}{3!}=\\dfrac{216e^{-6}}{6}\\approx0.089235"
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