Let "X=" the number of machines which will fail in the first three years: "X\\sim Bin(n, p)"
Given that "\\dfrac{p}{1-p}=0.003, n=40"
Then "p=\\dfrac{3}{1003}\\approx0.003"
"P(X\\leq2)=P(X=0)+P(X=1)+P(X=2)=""=\\binom{40}{0}(0.003)^0(1-0.003)^{40-0}+"
"+\\binom{40}{1}(0.003)^1(1-0.003)^{40-1}+"
"+\\binom{40}{2}(0.003)^2(1-0.003)^{40-2}=""=0.8867605+0.1067315+0.0062626\\approx0.999755"
"\\approx0.993511"
When the value of "n" in a binomial distribution is large and the value of "p" is very small, the binomial distribution can be approximated by a Poisson distribution. If "n>20" and "np<5" or "n(1-p)<5" then the Poisson is a good approximation.
We have "n=40>20, np=40(0.003)=0.12<5."
Use the Poisson Approximation to Binomial Distribution
"P(X=x)={e^{-\\lambda}\\lambda^x\\over x!}"
"={e^{-0.12}(0.12)^0\\over 0!}+{e^{-0.12}(0.12)^1\\over 1!}+{e^{-0.12}(0.12)^2\\over 2!}="
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