The simulation begins in an empty-and-idle state. We simulate until a predefined fixed number of customers n have entered the system and completed their service. To measure the performance of this system, we focus on a number of output variables. First of all we focus on the expected delay d(n) of a customer in the queue. From a system perspective we furthermore focus on the number of customers in queue q(n). The final output variable we consider is the expected utilization of the server u(n). This is the proportion of the time the server was in its busy state. Since the simulation is dependent on random variable observations for both the inter-arrival time and the service time, the output variables d(n), q(n) and u(n) will be random and, therefore, expected to be variable.