You are encouraged to review the chi-square, correlation, and regression materials from previous units. Then, review How to Choose a Statistical Test and the test-selection tutorials linked in the Resources to determine which test is most likely to be appropriate for your data type.
Instructions
Using SPSS and the Framingham study data set, perform and interpret statistical tests that answer the following research questions. Then, provide a written analysis of your results.
At baseline, was there a significant association between gender (variable: sex1) and smoking status (variable: cursmoke1)?
At baseline, how much variation in participant cholesterol levels (variable: totchol1) could be explained by the variation in an individual’s BMI (variable: bmi1)?
Written Analysis Format and Length
Format your analysis using APA style.
Use the APA Style Paper Template, linked in the Resources. An APA Style Paper Tutorial is also provided to help you in writing and formatting your analysis.
Your analysis should be 2–3 pages in length, not including the title page and references page.
Note: The requirements outlined below correspond to the grading criteria in the scoring guide. Be sure that your statistical analysis addresses each point, at a minimum. You may also want to read the scoring guide to better understand how each criterion will be assessed.
Perform the appropriate statistical tests (based on the assumption test).
Provide your rationale for test selection.
Interpret the results of your statistical tests (chi-square, correlation, and regression) for each research question.
Consider associated caveats and limitations.
Determine the practical, public health-related implications of your statistical tests (chi-square, correlation, and regression).
What evidence do you have that validates your conclusions?
Write clearly and concisely, using correct grammar, mechanics, and APA formatting.
Write for an academic audience, using appropriate statistical terminology, style, and form.
Express your main points and conclusions coherently.