Analyse health data using statistical software and interrogate the test assumptions…… 1 answer below »

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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 a report that answers all of the research questions below using the supplied data set. The data set you are required to analyse has been emailed to your QUT student email address. Note that your dataset may be different to the data set supplied to other students. The details about the study generating the data, and the data coding manual are provided at the end of this document. The research questions you are required to answer are: 1. Is there an association between body mass index (BMI) category (<21 kg/m2, 21 – <25 kg/m2 and =25 kg/m2) and having diabetes? 2. Is there a difference in exercise time for people with BMI <21 kg/m2, 21 kg/m2 = BMI <25 kg/m2 and BMI = 25 kg/m2? 3. Is the mean change in ejection fraction (EF) between rest and peak different for patients with diabetes and those without diabetes? 4. Are BMI, rest heart rate (HR), rest systolic blood pressure (BP), diabetes, gender, and the interaction of diabetes and gender predictors of exercise time? Which of the continuous variables explains most of the variation in exercise time? How much does the overall model improve by the addition of the diabetes and gender variables? Using the minimum model (ie, only contains significant independent variables

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PUN105 Assessment 2 Analytical Report th Due 9:00am Monday 5 June, 2017 To be submitted to via TurnItIn on the Assessment section of Blackboard 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 a report that answers all of the research questions below using the supplied data set. The data set you are required to analyse has been emailed to your QUT student email address. Note that your dataset may be different to the data set supplied to other students. The details about the study generating the data, and the data coding manual are provided at the end of this document. The research questions you are required to answer are: 2 1. Is there an association between body mass index (BMI) category (<21 kg/m , 21 – <25 2 2 kg/m and =25 kg/m ) and having diabetes? 2 2 2. Is there a difference in exercise time for people with BMI <21 kg/m , 21 kg/m = BMI <25 2 2 kg/m and BMI = 25 kg/m ? 3. Is the mean change in ejection fraction (EF) between rest and peak different for patients with diabetes and those without diabetes? 4. Are BMI, rest heart rate (HR), rest systolic blood pressure (BP), diabetes, gender, and the interaction of diabetes and gender predictors of exercise time? Which of the continuous variables explains most of the variation in exercise time? How much does the overall model improve by the addition of the diabetes and gender variables? Using the minimum model (ie, only contains significant independent variables), what is the predicted exercise time for a diabetic male with rest heart rate = 71, rest systolic BP = 136 mmHg and BMI = 28.4 2 kg/m ? How does this compare to a non-diabetic male with the same…

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