Background: A randomized trial was performed to evaluate the effectiveness of a new drug on controlling Type I diabetes in teenagers. A random sample of 150 patients were obtained from the pediatric diabetes clinic at Sick Kids in Toronto, Ontario; 75 were randomly assigned to the treatment group (new drug) and 75 were randomly assigned to the control group (existing drug). You may assume that basic factors such as validity of the inclusion criteria, blinding, etc. were performed appropriately.

Baseline information such as age and gender were collected and key outcomes of A1C level and number of hypoglycemic events were measured after four weeks. A1C levels indicate what percentage of your hemoglobin is coated with sugar (glycated). Higher A1C levels indicate poorer blood sugar control and a higher risk for diabetes complications. A hypoglycemic event occurs when the plasma glucose levels become too low; this is a common and adverse effect of diabetes therapy which has been shown to negatively impact on quality of life.

Instructions: The sample study data, which is comprised of 150 teenagers (75 treatment and 75 control) is available on Canvas as an Excel file (Assignment 2 dataset.xlsx). You must import the data file into SPSS following the instructions here.

For reference, the dataset contains the following variables to be used in your analyses:

Variable Units and Code

Age - Years

Gender - 0 = Male; 1 = Female

Group - 1 = Treatment; 0 = Control

A1C - %

Hypo -Hypoglycemic Events: 0=no events; 1=one event; 2=Two or more events

1.Based on the available data, your goal is to answer the following research questions:

a.Do the number of hypoglycemic events differ between the treatment and control groups? In other words, is there a statistically significant relationship between the number of hypoglycemic events and group (treatment and control)? Run the appropriate test at the 5% level of significance.

b. Is there a statistically significant difference in A1C levels between the treatment and control groups? Run the appropriate test at the 5% level of significance and decide on a 1-tail or 2-tail test.