Suppose that the number of accidents occurring on a highway per hour follows a Poisson distribution with a mean of 1.25.
Here number of accidents will follow a poisson distribution.
p(x) = e-x/x!
= 1.25
(a) p(X = 3) = e-1.251.253/3! = 0.0933
(b) Expected number of accident in 10 minutes = 1.25 * 10/60 = 1.25/6 = 0.2083
P(x < 2) = P(x = 0) + P(x = 1)
= e-0.20830.20830/0! + e-0.20830.20831/1! = 0.9810
(c) P(at least ten minutes between 2 accidents) =P(no accident in 10 minutes)
= e-0.20830.20830/0! = 0.8119
(d) The last 10 minutes will not impact the next 25 minutes.
so,
P(an accident will occur in next 25 minutes) = 1- P(no accidient in next 25 minutes) = 1 - e-25*1.25/60
= 1 - 0.5940 = 0.4060
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