1 Part I: Post-mortem body weight compared to pre-mortem body weight 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 premortem weight assessment in 132 autopsy cases at Massachusetts General Hospital.The le s2040DE_W18_autopsyweight contains the percentage increase for the 132 autopsy cases. (A value of 5, for example, indicates that the weight at autopsy was 5% greater than the pre-mortem weight.) You must import this data set into R. to carry out the analysis. For your writeup to be complete, you must: 0 Plot a boxplot of the percentages. 0 Plot a normal quantilequantile plot of the percentages. Include the appropriate line on your QQ plot. 0 Comment on the shape of the distribution. (You may refer to both the boxplot and the normal qq plot when commenting on the shape.) Comment on the suitability of the procedures for this data. 0 Suppose we decide to use thet procedures to analyze the data. Use R to calculate a 95% confidence interval for the population mean percentage. Include the output from R in your submission. 0 Give an appropriate interpretation of the 95% condence interval given by R, in the context of the problem. To what population do your conclusions apply? Comment on any biases that might be present. 0 If you feel there is an appropriate hypothesis test to carry out on this data (for just the data in the data set, and not any other data from the paper)1 then carry it out and properly interpret the results. If you do not feel there is a natural hypothesis test of interest in this situation, then say so and justify your position