(2.2. Consider a bank 1with ve tellers and one queue= which opens its doors at 9 AM- closes its doors at S P_M_, but stays open until all customers in the bank at 5 RM. have been served. Assume that customers arrive in accordance with a Poisson process at rate 1 per minute {i.e., III! exponential interarrival times with mean 1 minute): that service times are ED exponential random variable with mean 4 minutes, and that customers are served in a FIFO manner. Table belovl.r shows several typical output statistics om 10 independent replications of a simulation of the bank, assuming that no customers are present initially. Note that results from various replications can be quite derent. Thus, one run clearly.r does not produce \"the answers\". a} Obtain a point estimate and approximate 9t! percent condence interval for the expected average delaj,r of a customer over a day. [IItrlark} b} Obtain a point estimate and an approximate 9D percent condence interval for the expected proportion of customers tvi: a delay,r less than 5 minutes over a day, which is given by {loMark}