Describe the data collection plan you would execute in a non Covid-19 environment to gather data on arrivals and service times. If you can gather data safely, you can do so. If you can not collect data safely, then create a data distribution for arrivals (non uniform and non normal) and a processing time for your queueing system. Describe how you created the distribution and why you choose the parameters you did.
Plot the data you collected for arrival and service times and determine/describe the probability distribution of your data.
Did arrivals and service times follow the distribution as shown in the text?
Evaluate the chosen distribution and associated parameters for goodness-of-fit via graphical methods and statistical tests.
Determine the average length of the queue in your proposed model
Determine the average number of customers in the system in your proposed model
Determine the server utilization rate.
Do these performance measures seem realistic/reasonable given your observations?