1. At what time will the second customer arrive?

2. What is the time required to serve the third customer?

3. When does the operator begin processing the fourth customer?

4. How long does the fifth customer wait in line?

The manager of a small post office is concerned that the growing township is overloading the one-window service being offered. Sample data are collected on 100 individuals who arrive for service: Frequency Inter arrival time (Time between Arrivals) (minutes) 1 2 3 4 8 35 40 17 Service Time (minutes) 1 2 3 4 Frequency 12 21 41 26 Using the following random number sequence, simulate six arrivals, assume the first arrival time 0. RN for arrivals: 08, 74, 24, 34, 45, 86 RN for service time: 31, 32, 45, 53, 78, 67 (Note: we don't need to use the random number 08 for first arrival, since we assume the first arrival is time 0)