BIO-CT9

 Using the Framingham Heart Study Dataset, you will compare the risk factors in men and women where you will use the following patient characteristics: age, systolic blood pressure, diastolic blood pressure, use of anti-hypertensive medication, current smoker, total serum cholesterol, mg/dL, body mass index (BMI), and diabetes, by determining the means for each risk factor. Create a table that summarizes your results. H0 The risk factors for heart disease listed as patient characteristics are not related to if the patient is male or female in the Framingham Heart Study. (Null Hypothesis) H1 The risk factors for heart disease listed as patient characteristics are related to if the patient is male or female in the Framingham Heart Study. (Alternative Hypothesis) Steps of R Studio Analysis shown on page 67 in Introductory Statistics with R. > x <- rnorm (50) > sd < (x) > var < (x) > median (x) Steps of Excel Analysi 
 To conduct your analysis of the data, sort the data by the Sex/Gender variable and sort by smallest to largest. Compute the means and standard deviations for continuous variables using AVERAGE(range) and STDEV(range) functions – Compute n(%) for dichotomous variables using COUNT(range) and COUNTIF (range, criteria) functions modifying ranges accordingly.
 Present your findings by cutting and pasting your results table in a Word document that includes a title page, introduction, a discussion where you interpret the meaning of the table, and a conclusion. 
Your submission should be 3-4 pages to discuss and display your findings. Provide support for your statements with in-text citations from a minimum of four scholarly, peerreviewed articles. Two of these sources may be from the class readings, textbook, or lectures, but the others must be external. 
 Follow APA and Saudi Electronic University writing standards. Review the grading rubric to see how you will be graded for this assignment. 

more information to help in the assignment
 I have had questions about CT9 so I am happy to help clarify CT9.  We are going to be looking at the standard deviation function where we are still working with the same Framingham dataset using the following variables: age, systolic blood pressure, diastolic blood pressure, use of anti-hypertensive medication, current smoker, total serum cholesterol, mg/dL, body mass index (BMI), and diabetes, by determining the means for each risk factor.  We will also be creating a table that summarizes the results from your analysis.  There is so much to consider in performing this analysis so rather than describing it in words I want to offer some good sites that will help you with your questions.