Question: M/M/s with Finite Queue This model represents our TAs as Servers helping students before a case is due. Time measured in hours. Arrival Rate 10

M/M/s with Finite Queue This model represents our

M/M/s with Finite Queue This model represents our TAs as Servers helping students before a case is due. Time measured in hours. Arrival Rate 10 Service Rate 6 Number of Servers 2 Maximum Queue Length 12 Utilization 82.06 % P(O), Probability that the system is empty 9.78 % L, Expected number in system 4.35 Lq, Expected queue length 2.70 Wq, Expected time in queue 0.28 W, Expected total time in system 0.44 Probability that a customer waits 73.91% Probability that a customer balks 1.52 % How many students on average are receiving help at any one time? Multiple Choice 10 6 O 1.65 o O O 4.35

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