Customers arrive at a checkout counter in a department store according to a Poisson distribution at an average of seven per hour. During a given hour, what are the probabilities that
(a) no more than three customers arrive?
(b) at least two customers arrive?
(c) exactly four customers arrive?
Let X= the number of costumers arrive at a checkout counter in a department store:X∼Po(λ).
"P(X=x)=\\frac{e^{-\\lambda}\\lambda^x}{x!}"
"\\lambda=7"
a. "P(X\\le 3)=P(X=0)+P(X=1)+P(X=2)+P(X=3)=\\frac{e^{-7}(7)^0}{0!}+\\frac{e^{-7}(7)^1}{1!}+\\frac{e^{-7}(7)^2}{2!}+\\frac{e^{-7}(7)^3}{3!}=0.081765"
b. "P(X \\ge 2)=1-(P(X=0)+P(X=1))=1-(\\frac{e^{-7}(7)^0}{0!}+\\frac{e^{-7}(7)^1}{1!})=0.992705"
c. "P(X=4)=\\frac{e^{-7}(7)^4}{4!}=0.091226"
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