The time of arrival at a toll booth on a certain road comes from
a Poisson process with an average of 9 vehicles per minute. Now, X
is the time that is measured until the arrival of the 5th vehicle.
a) What is the probability that X is at least half a minute? b)
What is the average time of X?
Ans. a) 0.532104, b) 5/9
a)
We know that the inter-arrival time of Poisson process follows exponential distribution. Let T1, T2,.., T5 be the inter-arrival time of 1st , 2nd,..., 5th vehicle. Then Ti ~ Exp( = 1/9) for = 1,2,3,4,5
X = T1 + T2 + T3 + T4 + T5
We know that the 'n' sum of exponential distribution follows Gamma distribution with parameters n and
X ~ Gamma(k = 5, = 1/9)
Probability that X is at least half a minute = P(X 0.5)
(CDF of Gamma distribution)
= 0.011109 * (1 + 4.5 + 4.52 / 2 + 4.53 / 6 + 4.54 / 24 )
= 0.532104
b)
Average time of X = E[X] = k = 5 * (1/9) = 5/9
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