Instructions Use the Framingham study data set to perform and interpret statisti

May 19, 2024

Instructions
Use the Framingham study data set to perform and interpret statistical tests that answer the following research questions. Then, provide a written analysis of your results.
First, test the normal distribution assumption and select the appropriate statistical analysis path. Next, compare smokers and nonsmokers (variable: cursmoke1) in the Framingham study to determine whether there was a significant difference in baseline cholesterol levels (variable: totchol1).
Without testing for the assumption of normal distribution of data, use the four BMI categories (variable: bmiCat1) to compare baseline glucose levels (variable: glucose1) to determine if there is a significant difference across these four categories.
First, test the normal distribution assumption and select the appropriate statistical analysis path.
Next, determine whether there is a significant difference in baseline heart rate (variable: heartrte1) between smokers and nonsmokers.
Written Analysis Format and Length
Format your analysis using APA style.
An APA Style Paper Tutorial is 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 rubric. Be sure that your statistical analysis addresses each point, at a minimum. You may also want to read the Testing to Find Differences Between Groups rubric 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 (t tests, ANOVA) for each research question.
Consider associated caveats and limitations.
Determine the practical, public health-related implications of your statistical tests (t tests, ANOVA).
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.
Proofread your writing to minimize errors that could distract readers and make it more difficult for them to focus on the substance of your statistical analysis.

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