(4 pts) Suppose that the performance measure you are interested is the long-run average number of customers in a certain queue. Which of the followings is true about the appropriate output analysis? Choose only one. a) The ending simulation time is well defined. b) If the batch size is taken too small (than what it should be), the length of the computed confidence interval will typically be smaller than what it should be. c) When there is high dependency between within replication data, we have to increase the number of replications to improve the estimation precision. d) If the method of batch means is used, and batch means turn out to be dependent, one should increase the warm-up period. (4 pts) Suppose that the truncated replication method is used to conduct an output analysis (involves constructing a confidence interval and testing a hypothesis) for a steady-state simulation. Which of the following statements is true? Choose only one. a) If you increase the sample size, the confidence interval gets narrower. b) It is not possible to reduce the half-width of the obtained confidence interval without increasing the number of replications. c) The main objective is to guarantee that the length of the confidence interval is sufficiently small for a specified significance level (). d) Increasing the warm-up period helps us to make better estimates for the long-run behavior and so it reduces the half-width of the confidence interval