Use the "Diabetes" data on StatCrunch to answer this problem. https://www.statcrunch.com/app/index.php?dataid=3666301Links to an external site.

About this data: These data are courtesy of Dr John Schorling, Department of Medicine, University of Virginia School of Medicine. The data consist of 19 variables on 403 individuals who were screened for diabetes. This is a subset of a larger sample of 1046 individuals who were interviewed in a study to understand the prevalence of obesity, diabetes, and other cardiovascular risk factors in central Virginia for African Americans. Glycosylated hemoglobin > 7.0 is usually taken as a positive diagnosis of diabetes. We are assuming that Glucose, Cholesterol and HDL (high-density lipoproteins, or "good" cholesterol) are measured in mg/dL. Blood pressure is normally measured in mmHg (millimeters of mercury)

Variables ID - patient ID number Cholesterol - in mg/dL Stabilized Glucose - in mg/dL High Density Lipoprotein (HDL) - in mg/dL Cholesterol/HDL Ratio Glycosylated Hemoglobin Location - Buckingham or Louisa Age - in years Height - in inches Weight - in pounds Frame - small, medium, or large Systolic Blood Pressure - in mmHg Waist - in inches Hip - in inches Diabetic - yes, no

-----

We would like to test the claim, "Do those who have diabetes have higher systolic blood pressure than those who do not have diabetes?"

Put another way, we want to test the claim that the average systolic blood pressure for those who have diabetes is greater than the average systolic blood pressure for those who do not have diabetes.

Test this claim with an alpha level of 0.05.

Make sure to include all steps learned in class including your hypothesis, StatCrunch output, conclusion and explanation (interpretation) of your results. Make sure to use the correct test for the situation. You should also include a final conclusion that addresses the claim being made.

*HINT*: You many want to calculate summary statistics for the systolic blood pressure column and "group by" the Diabetic categorical variable before running your hypothesis test.