CompetencyGiven a real-life application, develop a hypothesis test for a population parameter and its interpretation.InstructionsScenario (Information repeated for deliverable 01, 03, and 04)A major client of your company is interested in the salary distributions of jobs in the state of Minnesota that range from $30,000 to $200,000 per year. As a Business Analyst, your boss asks you to research and analyze the salary distributions. You are given a spreadsheet that contains the following information:A listing of the jobs by titleThe salary (in dollars) for each jobIn prior engagements, you have already explained to your client about the basic statistics and discussed the importance of constructing confidence intervals for the population mean. Your client says that he remembers a little bit about hypothesis testing, but he is a little fuzzy. He asks you to give him the full explanation of all steps in a hypothesis testing and wants your conclusion about a claim that the average salary for all jobs in the state of Minnesota is less than $75,000.Background information on the DataThe data set in the spreadsheet consists of 364 records that you will be analyzing from the Bureau of Labor Statistics. The data set contains a listing of several jobs titles with yearly salaries ranging from approximately $30,000 to $200,000 for the state of Minnesota.What to SubmitYour boss wants you to submit the spreadsheet with the completed calculations. Your research and analysis should be present within the answers provided on the worksheet.

Minimum of five pages including a cover page with all necessary info. Clearly identify the Case Problem # and titles.  Include a reference page. The main body should clearly address all questions asked in the managerial report of the two case problems. This essay should reflect scholarly writing and current APA standards and must include citations to support the ideas. Final Project Part A, select one of the cases from the list below  Ch. 4 Linear Programming Applications in Marketing, Finance, and Operations Management: Case#1 Case Problem 1 Planning an Advertising Campaign The Flamingo Grill is an upscale restaurant located in St. Petersburg, Florida. To help plan an advertising campaign for the coming season, Flamingo’s management team hired the advertising firm of Haskell & Johnson (HJ). The management team requested HJ’s recommendation concerning how the advertising budget should be distributed across television, radio, and online advertisements. The budget has been set at $279,000. In a meeting with Flamingo’s management team, HJ consultants provided the following information about the industry exposure effectiveness rating per ad, their estimate of the number of potential new customers reached per ad, and the cost for each ad: Advertising Media | Exposure Rating per Ad | New Customers per Ad | Cost per Ad Television | 90 | 4,000 | $10,000 Radio | 25 | 2,000 | $ 3,000 Online | 10 | 1,000 | $ 1,000 The exposure rating is viewed as a measure of the value of the ad to both existing customers and potential new customers. It is a function of such things as image, message recall, visual and audio appeal, and so on. As expected, the more expensive television advertisement has the highest exposure effectiveness rating along with the greatest potential for reaching new customers. At this point, the HJ consultants pointed out that the data concerning exposure and reach were only applicable to the first few ads in each medium. For television, HJ stated that the exposure rating of 90 and the 4000 new customers reached per ad were reliable for the first 10 television ads. After 10 ads, the benefit is expected to decline. For planning purposes, HJ recommended reducing the exposure rating to 55 and the estimate of the potential new customers reached to 1500 for any television ads beyond 10. For radio ads, the preceding data are reliable up to a maximum of 15 ads. Beyond 15 ads, the exposure rating declines to 20 and the number of new customers reached declines to 1200 per ad. Similarly, for online ads, the preceding data are reliable up to a maximum of 20; the exposure rating declines to 5 and the potential number of new customers reached declines to 800 for additional ads. Flamingo’s management team accepted maximizing the total exposure rating, across all media, as the objective of the advertising campaign. Because of management’s concern with attracting new customers, management stated that the advertising campaign must reach at least 100,000 new customers. To balance the advertising campaign and make use of all advertising media, Flamingo’s management team also adopted the following guidelines: Use at least twice as many radio advertisements as television advertisements. Use no more than 20 television advertisements. The television budget should be at least $140,000. The radio advertising budget is restricted to a maximum of $99,000. The online budget is to be at least $30,000. HJ agreed to work with these guidelines and provide a recommendation as to how the $279,000 advertising budget should be allocated among television, radio, and online advertising. Managerial Report Develop a model that can be used to determine the advertising budget allocation for the Flamingo Grill. Include a discussion of the following in your report: A schedule showing the recommended number of television, radio, and online advertisements and the budget allocation for each medium. Show the total exposure and indicate the total number of potential new customers reached. How would the total exposure change if an additional $10,000 were added to the advertising budget? A discussion of the ranges for the objective function coefficients. What do the ranges indicate about how sensitive the recommended solution is to HJ’s exposure rating coefficients? After reviewing HJ’s recommendation, the Flamingo’s management team asked how the recommendation would change if the objective of the advertising campaign was to maximize the number of potential new customers reached. Develop the media schedule under this objective. Compare the recommendations from parts 1 and 4. What is your recommendation for the Flamingo Grill’s advertising campaign? Final Project Part B, select one of the cases from the list below Ch.10 Inventory Models: Case#1 Case Problem 1 Wagner Fabricating Company Managers at Wagner Fabricating Company are reviewing the economic feasibility of manufacturing a part that the company currently purchases from a supplier. Forecasted annual demand for the part is 3200 units. Wagner operates 250 days per year. Wagner’s financial analysts established a cost of capital of 14% for the use of funds for investments within the company. In addition, over the past year $600,000 was the average investment in the company’s inventory. Accounting information shows that a total of $24,000 was spent on taxes and insurance related to the company’s inventory. In addition, an estimated $9000 was lost due to inventory shrinkage, which included damaged goods as well as pilferage. A remaining $15,000 was spent on warehouse overhead, including utility expenses for heating and lighting. An analysis of the purchasing operation shows that approximately two hours are required to process and coordinate an order for the part regardless of the quantity ordered. Purchasing salaries average $28 per hour, including employee benefits. In addition, a detailed analysis of 125 orders showed that $2375 was spent on telephone, paper, and postage directly related to the ordering process. A one-week lead time is required to obtain the part from the supplier. An analysis of demand during the lead time shows it is approximately normally distributed with a mean of 64 units and a standard deviation of 10 units. Service-level guidelines indicate that one stock-out per year is acceptable. Currently, the company has a contract to purchase the part from a supplier at a cost of $18 per unit. However, over the past few months, the company’s production capacity has been expanded. As a result, excess capacity is now available in certain production departments, and the company is considering the alternative of producing the parts itself. Forecasted utilization of equipment shows that production capacity will be available for the part being considered. The production capacity is available at the rate of 1000 units per month, with up to five months of production time available. Management believes that with a two-week lead time, schedules can be arranged so that the part can be produced whenever needed. The demand during the two-week lead time is approximately normally distributed, with a mean of 128 units and a standard deviation of 20 units. Production costs are expected to be $17 per part. A concern of management is that setup costs will be substantial. The total cost of labor and lost production time is estimated to be $50 per hour, and a full eight-hour shift will be needed to set up the equipment for producing the part. Managerial Report Develop a report for management of Wagner Fabricating that will address the question of whether the company should continue to purchase the part from the supplier or begin to produce the part itself. Include the following factors in your report: An analysis of the holding costs, including the appropriate annual holding cost rate An analysis of ordering costs, including the appropriate cost per order from the supplier An analysis of setup costs for the production operation A development of the inventory policy for the following two alternatives: Ordering a fixed quantity Q from the supplier Ordering a fixed quantity Q from in-plant production Include the following in the policies of parts 4(a) and 4(b): Optimal quantity Q* Number of order or production runs per year Cycle time Reorder point Amount of safety stock Expected maximum inventory Average inventory Annual holding cost Annual ordering cost Annual cost of the units purchased or manufactured Total annual cost of the purchase policy and the total annual cost of the production policy Make a recommendation as to whether the company should purchase or manufacture the part. What savings are associated with your recommendation as compared with the other alternative?

In this problem, you will have to determine the appropriate t-test for the problem and then interpret the results.Assume the data in tab 11.a (Cancer mortality) represent data on cancer mortality rates for the communities in your hospital’s service area. Perform a statistical test to determine if the average cancer mortality in the rural communities is different from the average mortality in the urban communities. (Assume the mortality rates are normally distributed.) Offer an interpretation of your results. Remember to describe the mean cancer mortality rates. (4 points)Does this problem call for a one-tailed test or a two-tailed test? (1 point)Using the data in tab 11.b (Weight loss), test whether the average weight of patients attending your new weight loss clinic has changed as a result of attending the clinic. That is, is the average weight of patients after attending the clinic different from the average weight before attending? Report the average weight of these patients before and after attending the clinic and interpret the results of the statistical test(s) performed. (5 points)In this problem, you will apply the appropriate t-test to compare the mean time required to process clinical records before and after the introduction of a new method for this work. Note, assume the same records were processed before and after the introduction of the new procedure. Using data in Tab 12. (Processing time), evaluate the following:Test whether the intervention designed by a clever intern to reduce the time required to process billing forms made a difference. (That is, test whether the mean processing time after the intervention is different from the mean before the intervention.) Report your results and offer an interpretation of the statistical test(s) performed. (5 points)Would your conclusion be different if you were asked to test whether mean processing time after the intervention was less than mean processing time before the intervention? Describe how you interpret your results under these conditions. (Hint: this is a one-tailed problem.) (5 points)In this problem, you will choose the appropriate t-test for your evaluation and decide if each hypothesis requires a one- or a two-tailed test. Assume the data in Tab 13.(ER Wait times) are the time spent waiting to be seen by a physician for two groups of patients. One group were considered to have true emergencies and the other group were triaged as requiring only urgent care.Test the hypothesis that the time spent waiting does not depend on the reason for admission to the ER (true emergency v. needing urgent care). Report your results and interpret the statistical test. Does this hypothesis call for a two-tailed test or a one-tailed test? (5 points)Test the hypothesis that waiting time for patients with true emergencies was less than the waiting time for patients only needing urgent care. (Note the specific hypothesis to be tested here.) Interpret the results of the proper statistical test and justify your answer. Does this hypothesis call for a one-tailed or a two-tailed test? Please justify your answer. (5 points)