Overview Blood pressure is the force of blood pushing against the walls of the arteries that carry blood from your heart to other parts of your body. Blood pressure normally rises and falls throughout the day, but it can damage your heart and cause health problems if it stays high for a long time. Keeping your blood pressure levels in a healthy range usually involves taking medications among other things. In this part, you will work with a set of data that is obtained by testing a new drug for blood pressure. The data consists of information collected on 50 patients on the following variables: Subject: Patient Treatment: Two levels. 0 for Placebo and 1 for treatment group Gender: Male or Female Fam-Hist-BP: Paternal Side - PS, Maternal Side - MS, Both Sides – BS, None on both sides (or not known) – N Age: Age of patient BP-Before-Exp: Blood Pressure before experiment BP-After- Exp: Blood Pressure after experiment Do the following  Data: Download the NEW DRUG DATA (see attachment) and study the data. Review Using the Import Data Utility in SAS Studio (Links to an external site.)to learn how to import Excel data files into SAS Studio. Required Action: Based on the data set provided, produce the following output with SAS (or SPSS): Generate frequency tables for three categorical variables. Generate at least two different cross-tabulations. Generate a pareto chart for the categorical variable Fam-Hist-BP. Find the five number summary, mean, and standard deviation for three quantitative variables. Generate a side by side boxplot to compare the variables BP-Before-Exp and BP-After-Exp. Generate a histogram for each of the quantitative variables. Generate a scatterplot to display the relationship and find the correlation between Age and BP-Before-Exp. Generate a scatterplot to display the relationship and find the correlation between BP-Before-Exp and BP-After-Exp.