Covenant Hospital operates a main hospital and three outlying clinics in a medium-size city. All four locations perform similar outpatient services, and patients typically visit the location nearest them. The hospital has recently had more congestion—longer waiting lines—than it (or its patients) would like. As part of a study to learn the causes of these long lines and to suggest possible solutions, all locations have kept track of customer arrivals during 1-hour intervals for the past 10 weeks. All locations are open Monday through Friday from 9 a.m. until 5 p.m. and on Saturday from 9 a.m. until noon. For each location, the hospital and clinics collected data that contains the number of customer arrivals during each hour of a 10-week period. The manager of Covenant has hired you to make some sense of these data. Specifically, your task is to present charts and/or tables that indicate how customer traffic into the hospital locations varies by day of week and hour of day. There is also interest in whether any daily or hourly patterns you observe are stable across weeks. Although you don't have full information about the way the hospital currently runs its operations—you know only its customer arrival pattern and the fact that it is currently experiencing long lines—you are encouraged to append any suggestions for improving operations based on your analysis of the data.Review the Covenant Hospital data files. Reflect on what analyses might be required to address the manager's request.The Assignment: (3–5 pages)Submit your answers and embedded Excel analysis as a Microsoft Word management report.Be sure to adhere to APA format when generating your management report.Albright, S. C., & Winston, W. L. (2015). Business analytics: Data analysis and decision making (5th ed.). Stamford, CT: Cengage Learning. Chapter 1, "Introduction to Data Analysis and Decision Making" (pp. 1–16)Chapter 2, "Describing the Distribution of a Single Variable" (pp. 19–78)Chapter 3, "Finding Relationships Among Variables" (pp. 79–136)Kohane, I. S. (2015). Health care policy: Ten things we have to do to achieve precision medicine. Science, 349(6243), 37–38.Note: Retrieved from the Walden Library databases.Zwitter, A. (2014). Commentary: Big data ethics. Big Data & Society, 1–6.Note: Retrieved from the Walden Library databases.Document: Covenant Data File [Excel spreadsheet]

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Scenario/SummaryThis week's lab highlights the use of probability and normal distribution.Follow the directions below to gather data, calculate using Excel spreadsheets, and interpret the results.DeliverablesThe deliverable is a Word document with your answers to the questions posed below based on the data you find.Required SoftwareMicrosoft WordMicrosoft ExcelSteps to Complete Week 5 LabUse the Weeks 3 and 5 spreadsheets to help you answer the questions below.Step 1: Survey or measure 10 people to find their heights. Determine the mean and standard deviation for this group by using the Week 3 Excel spreadsheet. Post a screen shot of the portion of the spreadsheet that helped you determine these values. How does your height compare to the mean (average) height of the group that you surveyed? Is your height taller, shorter, or the same as the mean of your group?Data Example of 10 people with different heightsStep 2: Give some background information on the group of people you used in your study. You might consider using the following questions to guide your answer.How did you choose the participants for your study (sampling method)?What part of the country did your study take place in?What are the age ranges of your participants?How many of each gender did you have in your study?What are other interesting factors about your group?Step 3: Use the Week 5 Excel spreadsheet for the following.(Use the Empirical Rule tab from the spreadsheet). Determine the 68%, 95%, and 99.7% values of the Empirical Rule in terms of the ten heights in your height study.What do these values tell you?Post a screen shot of your work from the Week 5 Excel spreadsheet. Week 5 Spreadsheet Example(Use the normal probability tab from the spreadsheet). Based on your study results, what percent of the study participants are shorter than you? What percent are taller than you?Post a screen shot of your work from the Week 5 Excel spreadsheet.Example: If my height is 73 inches, then 20.86% of the relevant population is shorter. The other 79.14%, of course, is taller.Week 5 Spreadsheet ExampleStep 4: Be sure your name is on the Word document, save it, and then submit it under "Assignments" and "Week 5: Lab".