You will use this data (above) to analyze and answer the following questions.Data Dictionary: A data dictionary is an essential part of when you are presented data to analyze that you did not collect yourself. It provides you the variables in the data set and how to interpret them.Variables:idnumber: Unique ID assigned to each observationage: Age of the individual in yearsedlevel: Education level: 0 = did not complete high school, 1= completed high school, 2 =completed college, 3 = completed post-secondary degreesmokings: Smoking Status: 0 = does not smoke, 1 = daily smoker, 2 = occasional smokerexercise: Exercise Routine: 0 = does not exercise, 1 = exercises 1-4 times/month, 2 = exercises5-8 times/month, 3 = exercises 3 or more days/weekweight: Weight of the individual in poundssystolic: Measured systolic blood pressuregender: M = Male, F = Femalemaritals: Marital Status: S = single, M = married, D = divorced, W = widowedOf all the variables, which variables are discrete and which are continuous? Are there any binary variables, binary variables are those variables that have only 2 answer choices?Create a Grouped Frequency Distribution for one continuous variable in this data set. Then create a histogram and frequency polygon for that variable. (You may do this by hand or using Excel, that is up to you.)Find the mean, variance and standard deviation for each continuous variable in the data set.Create a 5-Number Summary and a box plot for one continuous variable. Are there any outliers in that variable?What is the average age of people in this data set who completed college?What is the average systolic blood pressure of males?What is the probability of selecting one person at random who is a smoker?What is the probability of selecting one person at random who is Single?What is the probability of selecting one person at random who is Female and Married?What is the probability of selecting one person at random who is an occasional smoker and exercises 3 or more times/week?