Imagine if you owned a small car wash chain and you were considering opening several more locations in different parts of the country. After operating for years locally, you gathered several sets of data that showed how seasonal changes affected the amount of cars being washed, the amount of money customers were willing to spend per wash, and what percentage of customers were willing to upgrade their service to have their cars fully detailed. With all this data to rely on, you feel confident that you will have an advantage over your competitors as you open your new locations. However, after investing in new properties and talent across the country, you find that you were unprepared to meet the labor demands in the Southeast region because of how a different set of seasonal changes affected demand, the customers in the Midwest region were unwilling to pay as much as you expected, and demand for detailing services in the Northwest region was minimal compared to your data set. You had thought that since your data was coming from multiple locations in your area it would be representative of the variations across the country, but you realize how you were wrong in your assumptions. How different would the scenario be if you were able to gather those from the other regions before expanding the company?
In this Discussion, you will examine the importance of applying statistical concepts to data in order to create information that will guide decision making. You will gather data on the costs that cigarettes incur for people who smoke and consider ways in which various professionals can use that information to address smoking from a public health perspective, to increase profits from an economic perspective, or more.
Call at least 10 convenience stores and/or grocery stores in your area and ask for the price of a pack of cigarettes. It can be for any brand, but make sure that the prices are all for the same-sized pack of the same brand. As an alternate, you can look up prices online or visit physical locations.
Post a 150- to 225-word (2- to 3-paragraph) explanation of how the information from calculating the average costs of a product can be used by businesses and professionals. In your explanation, do the following:
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