This week’s Learning Resources include several different ways to identify and assess the issue of missing data in your database. From your assessment and knowledge of possible ways to manipulate data, and to overcome potential challenges presented by the missing data, you will be able to analyze and reach conclusions about your analysis. It is important to recognize when and how to apply the most viable solution to the missing data. In addition, it is important to learn to recognize when your data results could be compromised by missing data.For this, you will analyze the impact of missing data on data analysis.To prepare:Review this week’s Learning Resources.Analysis of missing data. Include the following in your post:An explanation of the importance of handling missing data and skipping patterns and how missing data can affect data analysisA technique on how you may handle missing data appropriately with an explanation of why this technique worksChoose one of the variables you selected for your Scholar-Practitioner Project (select one with missing values) and report proportion of missing for that variableIndicate the possible reason for the missing values in that variable.ReferencesWang, R., Sedransk, J., & Jinn, J. H. (1992). Secondary data analysis when there are missing observations. Journal of the American Statistical Association, 7(420), 952–961. Long, J. A., Bamba, M. I., Ling, B., & Shea, J. A. (2006). Missing race/ethnicity data in Veterans Health Administration based disparities research: A systematic review. Journal of Health Care for the Poor and Underserved, 17(1), 128–140.Langkamp, D. L., Lehman, A., & Lemeshow, S. (2010). Techniques for handling missing data in secondary analyses of large surveys. Academic Pediatrics, 10(3), 205–210.

Final Project Week 8Write a minimum 4 page report explaining the results from your analysis of the ROI of Business Majors and Engineering Majors. Use your results from each week’s assignment to make this report.This report should include:A detailed description of the data used in this analysis – specifically explain what the data in each column represents.A detailed explanation of any information learned about:School Type for each major; The Cost for each major;The 30 Year ROI for each major;The Annual % ROI for each major.Explanations should be supported with the results obtained from your work in previous weeks.Finally, answer the following questions and support your answer with your results.Does there appear to be a particular major that gives a better ROI? Why or Why not? Given that we are using statistical inference to make our conclusions, is it guaranteed that the major you choose that gave a better ROI for this sample will always have a better ROI than the other major? Explain your reasoning

As a financial advisor, you are assigned a new client who is considering investing in one of two stocks, A or B.The table below shows information about the performance of stocks A and B last year. ReturnStandard DeviationStock A15 %8.3%Stock B14%2.1%As a financial advisor, are there factors other than return and risk that should be considered in making this decision?Based on these factors, what stock would you recommend to the client?What reasons will you convey to your client to justify your decision in recommending this stock?How will this recommendation impact the client?Specifically, the following critical elements must be addressed: I. Main ElementsII. Integration and Application III. Analysis IV. Critical Thinking Guidelines for Submission: Your analysis of the scenario must be submitted as a 1- to 2-page Microsoft Word document with double spacing and 12-point Times New Roman font.