Statistics Project

Objectives

This assessment addresses Unit Learning Outcomes 1,2 & 3 :

- Discriminate the most appropriate descriptive and inferential statistics to use in a given health context,

- Analyse health data using statistical software and interrogate the test assumptions, and

- Interpret and communicate the results of computer-generated statistical analyses.

Task

Your task is to write the statistical methods and results sections of a hypothetical manuscript that focuses on casual serum glucose level in a cohort of individuals who were part of the Framingham Heart Study which commenced in 1948 in the community of Framingham, Massachusetts USA. The SPSS data set you are required to analyse was emailed to your QUT student email address on $10^{\text {th }}$ September. If you did not receive this email you should notify the unit coordinator immediately. The data coding manual for the data set is provided at the end of this document.

Your analysis and reporting of results should encompass all of the following tasks/questions.

1. Describe the characteristics of the people included in the sample at the baseline examination.
2. Describe and test the bivariate relationships between casual serum glucose at the baseline examination and age, body mass index (BMI), education and use of blood pressure medication at the time of the baseline examination.
3. Describe the people who had casual serum glucose \(>150 \mathrm{mg} / \mathrm{dL}\) at the baseline examination and compare them to people who had \(\leq 150 \mathrm{mg} / \mathrm{dL}\) casual serum glucose at the baseline examination in terms of age, BMI, whether they were cigarette smokers at baseline examination and whether they were taking blood pressure medication at the time of the baseline examination.
4. Considering only individuals with casual serum glucose level at baseline less than or equal to \(150 \mathrm{mg} / \mathrm{dL}\), which of these variables (age, BMI, smoking status and whether they were taking blood pressure medication) measured at baseline are significantly associated with casual serum glucose level at baseline in a multivariable analysis? Describe their relationship with casual serum glucose level, including which continuous variable explains the most variation in casual serum glucose level. Report the 'minimum model' obtained.
5. Did the average casual serum glucose level of participants change significantly between the baseline examination and the follow-up examination? Did the proportion of the sample with casual serum glucose level \(>150 \mathrm{mg} / \mathrm{dL}\) change significantly between baseline and follow-up examination?

Price: $26.01

Solution: The downloadable solution consists of 14 pages, 1201 words.
Deliverable: Word Document