Support requests arrive at a software company at the rate of 1 every 10 minutes.
ID: 3125567 • Letter: S
Question
Support requests arrive at a software company at the rate of 1 every 10 minutes. Assume that the requests arrive as events in a Poisson process. What is the expected number of requests in an hour? Give an exact answer. What is the probability that the number of requests in an hour is between 8 and 10 inclusive? Give your answer to four decimal places. What is the expected number of requests in a 10 hour work day? Give an exact answer. What is the probability that the number of requests in a 10 hour work day is between 68 and 72 inclusive? Give your answer to four decimal places. What is the standard deviation of the number of requests in a 10 hour work day? Give your answer to four decimal places.Explanation / Answer
a)
E(x per hour) = (1 request/10 min)(60 min) = 6 requests [ANSWER]
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b)
Note that P(between x1 and x2) = P(at most x2) - P(at most x1 - 1)
Here,
x1 = 8
x2 = 10
Using a cumulative poisson distribution table or technology, matching
u = the mean number of successes = 6
Then
P(at most 7 ) = 0.74397976
P(at most 10 ) = 0.957379076
Thus,
P(between x1 and x2) = 0.213399316 [ANSWER]
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c)
As there are 6 requests/hr, then for 10 hours, that is
6*10 = 60 requests [ANSWER]
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d)
Note that P(between x1 and x2) = P(at most x2) - P(at most x1 - 1)
Here,
x1 = 68
x2 = 72
Using a cumulative poisson distribution table or technology, matching
u = the mean number of successes = 60
Then
P(at most 67 ) = 0.834022889
P(at most 72 ) = 0.943282728
Thus,
P(between x1 and x2) = 0.109259839 [ANSWER]
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e)
As
standard deviation = sqrt(mean)
Then as mean = 60,
standard deviation = sqrt(60) = 7.745966692 [ANSWER]
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