Say that the number of requests for towing from OU Parking Services follows a Poisson distribution with a rate of four per hour. a. What is the probability that exactly 10 students, staff, and faculty get their cars towed in a two-hour period? b. If the towing operators take a 30-minute lunch break, what is the probability that they do not miss any calls from OU Parking?
We know that the mean number of requests, lambda= 4 per hour.
a.
We must find the probability that exactly 10 students get their cars towed in a 2 hour period.
The mean for 1 hour is 4. Thus, the mean for 2 hours is 2*4= 8.
Lambda=8
P(X=x)= (lambdax * e-lambda ) / x!
x= 10
Thus, P(X=10)= (810 * e-8 ) / 10!
= 0.09926
b.
We must find the probability that exactly 0 students get their cars towed in a 30 minute period.
The mean for 1 hour is 4. Thus, the mean for half hour is 4/2= 2.
Lambda=2
P(X=x)= (lambdax * e-lambda ) / x!
x= 0
Thus, P(X=0)= (20 * e-2 ) / 0!
= 0.13534
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