An MM1o queueing model is such that the mean arrival rate is 3 per hour and...

 

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An MM1∞o queueing model is such that the mean arrival rate is 3 per hour and the mean servicing time is 10 minutes. With the usual notation, the expected time spent in the system (including time in service) is 1 W, where <. μ-1 It tuns out that the actual waiting time, W, is exponentially distributed with mean W.. Going back to the question, what is the probability that a newly arriving customer spends more than 20 minutes to be serviced in the system? Select one: OAe-1/3 OB. 3e-1/3 OC -1/3 OD e-1/9 OE e-l An MM1∞o queueing model is such that the mean arrival rate is 3 per hour and the mean servicing time is 10 minutes. With the usual notation, the expected time spent in the system (including time in service) is 1 W, where <. μ-1 It tuns out that the actual waiting time, W, is exponentially distributed with mean W.. Going back to the question, what is the probability that a newly arriving customer spends more than 20 minutes to be serviced in the system? Select one: OAe-1/3 OB. 3e-1/3 OC -1/3 OD e-1/9 OE e-l

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