• Using your calculator or a computer, find the mean and standard deviation of each data set.
• Find the five number summary for each data set.
• Use the 1.5 x IQR rule to determine if there are any outliers in each data set. Show all work!
• Compare the data sets using side-by-side modified boxplots. These should be drawn by hand!
• Which measure of center and variability (mean and standard deviation or median and IQR) should be used to describe each distribution and why?

butions with Numbers age 23) gives Lifestyle Intervention each of the 6.0 2.0 -3.0 20.6 11.6 15.5 o of residents 51 entries in 17.0 1.4 4.0 -4.6 15.8 34.6 fully why this 6.0 -3.1 -4.3 -16.7 -1.8 -12.8 t populations rida. Look at (a) In the context of this study, what do the negative values in the data set mean? 2018, approx- being paid at (b) Give a graphical comparison of the weight loss dis- Would fed- tributions for the two groups, using side-by-side box- wage have a plots. Provide appropriate numerical summaries for ncome of all the two distributions and identify any high outliers in either group. What can you say about the effects to choose of gastric banding versus lifestyle intervention on to 10, with weight loss for the subjects in this study? (c) The measured variable was weight loss, in kilograms. mallest pos- Would two subjects with the same weight loss always have similar benefits from a weight-reduction pro- est possible gram? Does it depend on their initial weights? Other variables considered in this study were the percent- er part (a) age of excess weight lost and the reduction in BMI. Do you see any advantages to either of these variables when comparing weight loss for two groups? numbers ummary (d) One subject from the gastric-banding group dropped out of the study, and seven subjects from the lifestyle num = 19 group dropped out. Of the seven dropouts in the life- style group, six had gained weight at the time they with this dropped out. If all subjects had completed the study, bout the how do you think it would have affected the compari- son between the two groups? hary? nall set of quartile. Exercises 2.43 through 2.49 ask you to analyze data without having the details outlined for you. The exercise statements