The purpose of this assignment is to use skills you have learned throughout all five weeks of the course. You will be able to apply what they have learned to solve a real world problem that you could use to in your future career.Create a 5- to 6-slide presentation that must include:One slide on the Introduction Introduce your topic and question that you chose in Week 2.Why did it interest you? How does it relate to life?What should the audience learn from your presentation?Three to four slides of your visualsShow your tables, scatter plot, other 2 visuals, calculations, and any other evidence to support your conclusion(s) that you created in Week 3.Explain what information in the data tables is not needed for your analysis.Discuss what you can conclude from the visuals. How do these visuals support your conclusion?One slide for a conclusion Restate your topic and question and give your answer to the scenario.How confident are you that your conclusion is sound?What work would need to be done to increase your confidence?Discuss what you learned from this project.Include detailed speaker notes for each slide.

Assignment: Computation by Hand Answer question 1 using data in table 1 below. Table 1: Survival Status Donor’s Sex Alive Dead Total Female 52 4 56 Male 110 27 137 Total 162 31 193 Compute the simple odds ratio of the association of donor’s sex and survival status of the infant. Be sure to answer all four parts to this question (a, b, c, and d), including manual calculation of the chi-square value a. Manually calculate a simple odds ratio to test the hypothesis of no association between donor’s sex and the survival status of the infant, without the inclusion of the variable severity using a 2 x 2 table for sex and survival b. Manually calculate the confidence interval associated with that odds ratio using the appropriate formula c. Manually compute the Chi Square test statistic for this table d. Interpret the results. Include an interpretation of the odds ratio, the confidence interval, and the Chi Square test statistic in your Table 2: Survival Status Disease Severity Donor’s Sex Alive Dead Total None Female 14 1 15 Male 21 2 23 Mild Female 17 1 18 Male 40 2 42 Moderate Female 15 1 16 Male 33 6 39 Severe Female 6 1 7 Male 16 17 33 Total 162 31 193 Using data in table 2, compute the common odds ratio of the association between donor’s sex and the survival status of the infant, after controlling for severity a. Manually calculate a common odds ratio to test the hypothesis of no association between donor’s sex and the survival status of the infant, after the inclusion of the variable severity using the common odds ratio b. Interpret the results. How does the common odds ratio differ from the simple odds ratio computed in part 1? What effect might it have on your decision from part 1 to reject or fail to reject the null hypothesis? c. Why is it important to know the effect of severity on the association of gender and survival? Perform a simple logistic regression using SPSS and the Week 6 Dataset (SPSS document). Answer the following questions based on your SPSS output a. Are the results of the simple logistic regression similar to or different from the results of the simple odds ratio? b. How are they similar or different? Include output from SPSS and an interpretation of the OR and confidence intervals in your response c. What can you do using logistic regression to duplicate the results from part 2 of this application (the use of CMH for common odds) Resources Daniel, WW & Cross, CL. (2013). Biostatistics: A Foundation for Analysis in the Health Sciences. Hoboken, NJ: Wiley. Chapter 11, “ Regression Analysis: Some Additional Techniques” ( pp. 539 –599) Chapter 12, “Chi Square Distributions” ( pp. 600 –669)

Review the important themes within the sub questions of each bullet point. The sub questions are designed to get you thinking about some of the important issues. Your response should provide a succinct synthesis of the key themes in a way that articulates a clear point, position, or conclusion supported by research. You are designing a direct marketing campaign for an online clothing retailer. As part of your design, you quantify the expected response rates by ethnic group. Your definition of the term “ethnicity” follows that of the U.S. Census Bureau (e.g., Hispanic, Asian, African American, etc.). You want to test your campaign using 1,000 randomly selected households, but you want your sample to mimic the US population in terms of the proportion of different ethnicities (e.g., if Hispanics constitute about 12 percent of the US population, 12 percent of your sample should be Hispanic). Assess the appropriateness of using a simple random sample as the test’s sampling plan.Evaluate other potential sampling plans, and describe why such other sampling plans might be more or less appropriate than using a simple random sample. Support your discussion with relevant examples, research, and rationale. Your posting should be the equivalent of 1 to 2 single-spaced pages 500 words in length.