The box plot is a graphical way to evaluate the spread of a data set. In particular, it makes it easy to identify data points that are "outliers" - those that appear to be aberrational. Follow these steps to complete a box plot for the data in this exercise. (The sample that follows is a box plot for the data in another exercise.) 85 90 95 100 105 110 115 120 125 130 The table shows the annual number of homicides in Milwaukee for a 10-year period. 114 118 72 130 74 110 129 123 121 124 Part 1 of 3 (a) Draw the boxplot for the given data. Lo 50 Part 2 of 3 90 60 70 80 90 100 110 120 130 140 40 150 48 (b) What does the position of the box tell you about the data set? The majority of the data values are on the low end of the distribution. The majority of the data values are on the high end of the distribution. The data values are fairly symmetrically distributed. Part: 22 are no is one Part 3 are two are three