Create a numerical as well as graphical summary for each of those variables.

Using this data set answer the following questions:A-Choose Two Variables, one categorical and one numerical. Create a numerical as well as graphical summary for each of those variables. Don’t forget to comment on the graphical summaries you find. In case of histograms, for example, talk about shape, center, and spread.B-Pick a variable that was measured before (pretest) and after (posttest) the life skills class. Sample variables would be attitude toward safety, attitude toward high school, and attitude toward resolving conflict with boy friend or girl friend.PART ONEa) Explain why the pretest and posttest data are dependent.b) Pick a variable that was measured before (pretest) and after (posttest) the Life skills class.c) Write the null and alternative hypotheses to show whether the life skills class had any effect on changing the attitude of students toward the variable you picked. d) Do this in words and symbols.e) Conduct the paired -sample test of the mean using Statcrunch.f) Write your conclusion regarding the null hypothesis WITHIN CONTEXT.g) Interpret the P-value.h) Interpret the 95% confidence interval.i) Shows how you can hand calculate the t-value generated by StatCrunchj) Shows how you can hand calculate the confidence interval generated by StatCrunch.PART TWOa) Using the same variables that you chose in part one, use Statcrunch to compute a new variable called “gain”. “Gain” would be equal to the posttest minus the pretest.b) Conduct a one-sample test of the mean using the gain score that you created. c) Your null hypothesis would be that the mean gain in the population is equal to zero.d) Interpret your conclusions regarding the null hypothesis within context.e) Interpret the 95% confidence interval within context.f) Compare the results of the one-sample test of the mean with the paired-sample test of the mean. Did you get the same results or different results? Explain why