McCormack et al. (2016) investigated differences in body weight before and after death, and the possible impact of these differences on the pathologic assessment of the heart. As part of the study, the authors investigated the percentage change in body weight at autopsy relative to the pre-mortem weight assessment in 120 autopsy cases at Massachusetts General Hospital. The le 2U40_W22_autopsyweight.csv contains the percentage increase for the 120 autopsy cases. (A value of 5, for example, indicates that the weight at autopsy was 5% greater than the pre-mortem weight. There were actually 132 observations in the data set, but we are looking at a subset of 120 here. Act as if there were 120 cases in the sample.) You must import this data set into R to carry out the analysis. For your write-up to be complete, you must: a) Plot an appropriate boxplot and an appropriate normal quantilequantile plot. Include the plots in your submission. b) Comment on the whether the normality assumption of the one-sample t procedures is reasonable in this setting. You should make reference to the appropriate plot{s). If you feel there is a violation of the normality assumption, do you think it is still reasonable to use the t procedure here? Justify your position. For the remainder of this section, assume it is reasonable to use the t procedures