1- Waiting Lines. Observe a waiting line, one that is attached to a single server, for 30 minutes (during a time when there are people in line at least 75% of the time). Record the total number of people that arrived to the line within that 30 minutes and then calculate the average time between arrivals based on your measures. The reciprocal is then the average arrival rate. Time how long it takes for at least 10 customers to be served (each). Calculate the average service time based on those 10 measurements and then take the reciprocal to determine that service rate. From your data, calculate W, Wq, L, Lq, and who based on arrival rate (lambda) and mu (service rate) measures. In addition, did the line ever go to zero? If so, compare the amount of time the server was idle to your calculation of rho (utilization). Comments? What could be done to reduce the wait you encountered?