Use the data file to determine whether you find support for the existence of white coat syndrome. In this study, 60 participants were randomly assigned to one of three groups. The 'settings' variable indicates the location in which the participant's blood pressure was recorded: 1=home, 2=in a doctor's office, and 3=in a classroom setting. The 'SystolicBP' variable contains the participant's systolic pressure (the 'upper' number). The 'DiastolicBP' variable contains the participant's diastolic pressure (the 'lower' number).
a. Perform exploratory data analysis on both the SystolicBP and DiastolicBP variables. Using SPSS, calculate the mean and standard deviation of these two variables. Be sure that your analysis is broken down by setting (e.g., you will have six means, six SD's, etc.).
b. Create two graphs - one for systolic and one for diastolic pressure. Each graph should clearly delineate the three groups.
c. Write a null and alternative hypothesis for the comparison of the three groups (note that your hypothesis will state that the three groups are equivalent; be sure to word your null hypothesis correctly).
(a) Exploratory data analysis, including mean and standard deviation, on SystolicBP and DiastolicBP variables by setting (i.e., 1=home, 2=in a doctor's office, and 3=in a classroom setting).
(b) Graphical representation of SystolicBP and DiastolicBP variables by setting (i.e., 1=home, 2=in a doctor's office, and 3=in a classroom setting).
(c) ANOVAs to compare means of three settings (i.e., 1=home, 2=in a doctor's office, and 3=in a classroom setting) on SystolicBP and DiastolicBP.