Let X = the random variable denoting the number of cars being involved in an accident during the certain part of the day, X = 0(1)100
We have, the probability p of an individual car having an accident is 0.0001.
Then X ~ bin(n = 100, p = 0.0001)
Here we see that,
(i) n = 100 is large i.e. n "\\to\\infty"
(ii) p = 0.0001 is small i.e. p "\\to" 0
(iii) np = 0.01 is finite
"\\therefore" The Binomial distribution can be approximated by Poisson distribution with parameter "\\lambda" .
λ = np = 0.01.
Hence, X ~ P(λ = 0.01)
The p.m.f. of X is given by,
P(X = x) =Â "\\begin{cases} \\frac{e^{-0.01}(0.01)^x}{x!} &\\text{if } x=0, 1,2,... \\\\ 0 &\\text{otherwise } \\end{cases}"
"\\therefore" The probability of 2 or more cars being involved in an accident within the certain period
= P(X ≥ 2)
= 1 - P(X < 2)
= 1 - [P(X = 0) + P(X = 1)]
= 1 - ["\\frac{e^{-0.01}(0.01)^0}{0!} + \\frac{e^{-0.01}(0.01)^1}{1!}"]
= 1 - 0.9901 x (1 + 0.01) = 0.0000
Answer: The probability of 2 or more cars being involved in an accident within the certain period is 0.
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