A certain firm uses a large fleet of delivery vehicles. Their records over a long period of
time (during which their fleet size utilization may be assumed to have remained suitably
constant) show that the average number of vehicles per day is 3. Estimate the probability
on a given day when
i. all their vehicles will be serviceable (2 Marks)
ii. more than 2 vehicles will be unserviceable (2 Marks)
iii. exactly 4 vehicles will be unserviceable
Let X = random variable denoting number of vehicles unserviceable per day.
"X\\sim Poi(\\lambda)\n\\\\ \\lambda=3"
(i):
Probability that all their vehicles will be serviceable = 1 - Probability that all vehicles will be unserviceable
"=1-P(X=0)\n\\\\=1-\\dfrac{e^{-3}(3)^0}{0!}\n\\\\=1-0.049787\n\\\\=0.95021"
(ii):
Probability that more than 2 vehicles will be unserviceable
"=P(X>2)=1-P(X\\le2)\n\\\\=1-[P(X=0)+P(X=1)+P(X=2)]\n\\\\=1-[\\dfrac{e^{-3}(3)^0}{0!}+\\dfrac{e^{-3}(3)^1}{1!}+\\dfrac{e^{-3}(3)^2}{2!}]\n\\\\=0.57681"
(iii):
Probability that exactly 4 vehicles will be unserviceable
"=P(X=4)\n\\\\=\\dfrac{e^{-3}(3)^4}{4!}\n\\\\=0.16803"
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