Let "X" be the random variable representing the number of accidents in a day: "X\\sim Po(\\lambda t)"
"P(X=x)=\\dfrac{e^{-\\lambda t}(\\lambda t)^x}{x!}"Average number of accidents per day, "\\lambda=4, t=1."
Then "\\lambda t=4(1)=4" and
b)
"P( X>6)=1-P(X=0)-P(X=1)-P(X=2)-""=\\dfrac{e^{-4}(4)^0}{0!}+\\dfrac{e^{-4}(4)^1}{1!}+\\dfrac{e^{-4}(4)^2}{2!}=""=13e^{-4}\\approx0.238103"
The probability that on any Particular day there will be fewer than 3 accidents on this superhighway during the peak rush timings is "13e^{-4}\\approx0.238103."
a)
"P( X<3)=P(X=0)+P(X=1)+P(X=2)""-P(X=3)-P(X=4)-P(X=5)-P(X=6)"
"=1-\\dfrac{e^{-4}(4)^0}{0!}-\\dfrac{e^{-4}(4)^1}{1!}-\\dfrac{e^{-4}(4)^2}{2!}"
The probability that on any Particular day there will be more than 6 accidents on this superhighway during the peak rush timings is "\\approx0.110674."
c)
Therefore
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