The model requires analysis of input data regarding the arrival process of patients. Look at the lecture PowerPoint materials on "analyzing input data" as a guide for your modeling. A combination of descriptive statistics and a histogram can help you "eyeball" the data to help determine the most appropriate probability distribution function to help model interarrival times. Modeling Hint: Build the model incrementally based on your flowchart. Do not try to put everything together at once and then test whether it works. The key is to use individual, small steps. Be sure to specify your priorities and resources correctly with SimQuick. Remember, a higher priority has a lower number workstation. For instance, if you have two workstations that compete for a resource, the workstation with the higher priority is always entered into the model first. Table-1 presents patient arrival times. You need to come up with some estimate of interarrival times, meaning the time between arrivals, to come up with a pattern for how patients enter into the X-ray facility. I highly encourage you to create a histogram, run the descriptive statistics from the analysis toolpack in Excel and estimate an appropriate, average interarrival time. You may need to include more buffers than noted in Table-2. Assume that there's plenty of space available for patients to wait while they're in the service system