M/M/s with Finite Queue This model represents our TAs as Servers helping students before a case is due. 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 % What happens to the Service Rate is we add an additional TA for office hours? Multiple Choice It will decrease o O It will increase O a Cannot be determined O o O It does not change 4.35