You are a business analyst for an organization that distributes pizza ingredients to various restaurants. These ingredients include dough, sauces, and toppings. Your organization wants to expand its customer base but does not know what kind of restaurant or which U.S. region to target. You have been given a Clean Customer Sales Data Set that is a representative sample of the sales at your customers’ restaurants for 2015 and 2016. This also contains household income data for the restaurant zip codes.
Your organization’s leadership is concerned about rising delivery costs and is considering whether they should specifically target pizzerias as customers. They are also considering whether they should only offer morning deliveries. Currently, the organization’s roster of customers includes a wide range of restaurants, many of which are open for business before noon. You have been asked to analyze your customer data set and provide insight and recommendations. First, you must determine differences in the orders placed at different times of the day and compare orders placed in pizzerias with those in other restaurants. You will then need to analyze these differences to determine whether these differences are due to chance or are statistically significant and determine how these may impact your recommendations.
For this activity, you will use MS Excel to perform t-tests on the given data set to determine whether the differences that you see between two groups are significant or due to chance.
Create a report that presents the results of the t-tests on the data included in your data set to inform leadership’s decision making. Include the relevant screenshots in the report.
Specifically, you must address the following rubric criteria:
Submit an MS Excel sheet with the t-test results.
Submit a 2-page Word document using double spacing, 12-point Times New Roman font, and one-inch margins. Sources should be cited according to APA style. Consult the Shapiro Library APA Style Guide for more information on citations.
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