A cable TV company was interested in making its operation more efficient by cutting down on the distance between service calls while still maintaining at least the same level of service quality. A treatment group  of  18  repairpersons  was  assigned  to  a  dispatcher  who  monitored  all  the incoming requests for cable repairs and then provided a service strategy for that day’s work orders. A control group of 18 repairpersons was to perform their work in a normal fashion—that is, by providing service in roughly a sequential order as requests for repairs were received. The average daily mileages for the 36 repairpersons are recorded in the table below.   What are the populations of interest in this study?   What is the level of significance of your test?   Is there significant evidence that the treatment group had a smaller average daily mileage than the control group? Use α = 0.05.

The queuing systems inside of McDonald's and Taco Bell/Wendy's were the subject of  analysis.  Considering how we could mathematically evaluate the efficiency of each system: two lines each, with their own server or a single queue that leads to two servers. considering the psychology around the wait, and how that might affect balking and negative behavior, or promote increased purchases by forcing customers to view promotions or menus for longer times.   The question is whether the same aspects - mathematically and psychologically - apply to drive through settings. Do the same mechanics apply? How so or how not?

The manager of the customer service department at a bank can hire employees with a high school degree (HS) who earn $10,000 annually or employees with a bachelor's degree (B) who earn $20,000. The manager wants to maximize the number of customers served given a fixed payroll. Worker Number of Additional Customers Served     High School Degree Bachelor's Degree     1st 80 90     2nd 60 80     3rd 50 60     4th 40 40     5th 35 35     6th 30 25     Given the information in the table, if the manager's payroll is $120,000, what should be done to maximize the number of customers served? What is the math behind this? Do I just look back and select which degrees equal 0.5? That would take a lot of manual work to do that. Is their an easier way?