provide evidence that randomly assigning workdays and locations is a suboptimal strategy

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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USE R STUDIO TO SOLVE: Assume that I am a manager of an ice-cream business. I have four sales agents: Ashley, Jude, Leslie and Skylar. They each work six days per week and have access to a portable kiosk to sell my ice-cream. On the days they work, they sell my ice cream at one of three permitted locations: the beach, the market or the park. My strategy so far has been to randomly determine the six days that each agent works and to randomly assign the location for each agent daily. I now want to know if randomly determining the days and randomly assigning the location is the right decision to maximise sales revenue. To help answer this, I collected some data over a 20 week period. However, I don't know what to do with the data. For this reason, I have recruited you as a consultant in data analytics to: i. help me make sense of the data; ii. provide evidence that randomly assigning workdays and locations is a suboptimal strategy; iii. to advise me on a more optimal assignment of workdays and locations for each sales agent; and, iv. justify your recommendations using appropriate statistical tools and visualisations. To access the data use the following R command: icecream
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