2. In this question, we will analyze systolic blood pressures and their relationship to smoking. The data le BloodPressure.j mp includes data on a random sample of 500 patients records from a medical system. For the purposes of this question, we will look at two of the variables collected on each patient: systolic blood pressure (the rst number in a blood pressure reading) and whether or not the patient was a smoker (Yes or No). a. Use Graph Builder in JMP to produce a side-by-side boxplot of the systolic blood pressures for the patients who smoke and the patients who do not smoke. Include the graph on your answer sheet. b. Describe one difference you see in the side-byside boxplots of the blood pressures between the two groups. c. Use JMP to obtain the ve number summaries and the means and standard deviations of the blood pressures for the two groups. Include the output on your answer sheet. (1. Describe one difference you see in the summary statistics of the blood pressures between the two groups . For the next two parts If you conduct a hypothesis test to answer the research question, make sure to include the null and alternative hypotheses, test statistic, p-value and conclusion as a part of your answer, If you calculate a condence interval, make sure to include the lower and upper bounds of the interval and the interpretation of the interval and use 95% condence. e. Answer the following research question: Is there a difference in the mean systolic blood pressures in the population of patients who smoke versus the population of patients who do not smoke? f. Answer the following research question: What is the difference in the mean systolic blood pressures in the population of patients who smoke versus the population of patients who do not smoke? g. Explain why the independent groups and random samples assumptions are valid in this situation. h. Do you have any concerns about the equal variances assumption in this situation? Explain your answer. i. Do you have any concerns about the normality assumption for each sample mean in this situation? Explain your answer. Oneway Analysis of SystolicBP By Smoke 200 150 SystolicBP 100 . .. No Yes Smoke Quantiles Level Minimum 10% 25% Median 75% 90% Maximum No 67 106.5 125 138 150.25 178 215 Yes 100 118.7 132 142.5 169.5 191.3 224 Oneway Anova Summary of Fit Rsquare 0.037422 Adj Rsquare 0.035489 Root Mean Square Error 27.4937 Mean of Response 144.952 Observations (or Sum Wgts) 500 Pooled t Test Yes-No Assuming equal variances Difference 10.8426 t Ratio 4.400097 Std Err Dif 2.4642 DF 498 Upper CL Dif 15.6840 Prob > It| <.0001 lower cl dif prob> t <.0001 confidence prob t analysis of variance sum source df squares mean square f ratio> F Smoke 14634.93 4634.9 19.3609 <.0001 error c. total means for oneway anova level number mean std lower upper no yes uses a pooled estimate of variance and deviations err dev>