Suppose that the amount of time one spends in a bank is exponentially distributed with mean 10 minutes. What is the probability that a customer will spend more than 15 minutes in the bank? What is the probability that a customer will spend more than 15 minutes in the bank given that he is still in the bank after 10 minutes?
Let "X=" the amount of time a customer spends in a bank: "X\\sim Exp(\\lambda)."
"\\lambda=\\dfrac{1}{\\mu}=\\dfrac{1}{10}=0.1"
"=\\lim\\limits_{A\\to\\infin}\\displaystyle\\int_{15}^{A}0.1 e^{-0.1 x}dx"
"=\\lim\\limits_{A\\to\\infin}[-e^{0.1x}]\\begin{matrix}\n A \\\\\n 15\n\\end{matrix}=-0+e^{-0.1(15)}"
"=e^{-1.5}\\approx0.22313"
An exponential distribution has a memory-less property, i.e the future probabilities are not affected by any past data.
"=P(X>5)=\\lim\\limits_{A\\to\\infin}\\displaystyle\\int_{5}^{A}0.1 e^{-0.1 x}dx"
"=\\lim\\limits_{A\\to\\infin}[-e^{0.1x}]\\begin{matrix}\n A \\\\\n 5\n\\end{matrix}=-0+e^{-0.1(5)}"
"=e^{-0.5}\\approx0.60653"
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