11.1 Step 1: Divide the range of the data into classes of equal width. The data in the table range from 95 to 405, so we choose as our classes

75 ≤ weight < 125

125 ≤ weight < 175

. . .

375 ≤ weight < 425

Step 2: Count the number of individuals in each class. For example, there are three members in the first class, 12 members in the second class, and so on, up to one member in the final class.

629

Step 3: Draw the histogram. Mark on the horizontal axis the scale for the variable whose distribution you are displaying. That’s “Dead Lift Personal Record in Pounds” here. The scale runs from 75 to 425 because that range spans the classes we chose. The vertical axis contains the scale of counts. Here that is “Number of Members.” Each bar represents a class. The base of the bar covers the class, and the bar height is the class count. There is no horizontal space between bars unless a class is empty, so that its bar has height zero. The following figure is our histogram.

11.2 The distribution is mostly symmetric (perhaps slightly left skewed), with a center between 65 and 67 inches. The data are spread between 57 and 73 inches, with no outliers.