Question: What test should we run on rStudio explain please and thank you report what you I You have two options for question 5 below. Only

What test should we run on rStudio explain please and thank you

What test should we run on rStudio explain please
report what you I You have two options for question 5 below. Only do one of these options not both! Q4 - Option A: In an experiment for body-mass index (BMI), 143 high school boys were weighed (kg/m ). The weight range was broken down into sub categories. The theoretical nor- mal probabilities found using the population mean of the boys (21.8) and standard deviation (3.4) and the table of counts of the boys in each category were as follows: Theoretical Probabilities BMI (kg/m-) Male Students P(S 19.9) = 0.298 $ 19.9 41 P(20 - 22.9) = 0.34 20 - 22.9 65 P(23 - 25.9) = 0.254 23 - 25.9 20 P(26 - 28.9) = 0.091 26 - 28.9 9 P(2 29) = 0.017 2 29 8 Total 143 The researches wish you to run a test to see if the distribution of BMI weights differ from the theoretical probabilities. In other words, is there strong evidence that the BMI distribution of these high school boys does not fit a normal distribution? Q4 - Option B: Patients with coronary artery disease were randomly assigned to either receive angioplasty plus medical therapy (n = 1149) or medical therapy alone (n = 1138) in a clinical trial. Over the next several years 85 angioplasty and 95 medical therapy patients died, with cause of death categorized as cardiac, other, or unknown. The following table shows a cross classification of the data. The researcher would like for you to see if treatment type and death outcome are associated. Death Outcome Treatment Cardiac Other Unknown Alive Total Angioplasty 23 45 17 1,064 1,149 Medical Therapy 25 51 19 1,043 1,138 Total 48 96 36 2, 107 2,287

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