2. Another aspect of the same study in question 1 is to compare the variability in blood pressure with each method. This comparison is achieved by computing [X1 - X2] for each participant and method (i.e., absolute difference between first and second readings) and comparing absolute differences between machines for individual participants. The data are provided in the table below Child Absolut SBP Difference (mm Hg) (random-zero) Absolute SBP Difference (mm Hg) (standard cuff) 1 2 12 2 4 6 3 6 0 4 4 2 5 8 4 6 4 4 7 2 6 8 2 8 9 4 10 2 2 4 11 0 6 12 2 6 13 6 6 14 2 4 15 8 8 16 0 2 17 6 6 18 4 6 19 20 2 2 14 4 a. Create one box and whisker plot that compares the distribution of SBP differences for the two machines. Does there appear to be a difference between the groups? b. The researchers are reluctant to assume that the distributions are normal. Conduct the appropriate statistical test to determine whether the variability of the two blood pressure machines is comparable. What can you conclude from your test? Assume a 0.05 level of significance. C. Researchers conduct a test of the null hypothesis (HO) that the shift in the central point of the distribution (median) is to the left for the random-zero cuff compared to the standard cuff (Ha = shift in the central point of the distribution is to the right for the random-zero cuff compared to the standard cuff). The p- value of the test is 0.01919. What can you conclude from this test result? Does this test result align with your observations from the box and whisker plot?