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Chapter 5: Means, Medians, and More
                                                    those superstar players and report the average. But if you’re on the side of
                                                    the players, you would want to report the median, because that’s more rep-
                                                    resentative of what the players in the middle are making. Fifty percent of the
                                                    players make a salary above the median, and 50 percent make a salary below
                                                    the median. To sort it all out, it’s best to find and compare both the mean
                                                    and the median. A graph showing the shape of the data is a great place
                                                    to start.

                                                    One of the graphs you can make to illustrate the shape of numerical data (how
                                                    many values are close to/far from the mean, where the center is, how many
                                                    outliers there might be) is a histogram. A histogram is a graph that organizes
                                                    and displays numerical data in picture form, showing groups of data and the
                                                    number or percentage of the data that fall into each group. It gives you a nice
                                                    snapshot of the data set. (See Chapter 7 for more information on histograms
                                                    and other types of data displays.)
                                                    Data sets can have many different possible shapes; here is a sampling of
                                                    three shapes that are commonly discussed in introductory statistics courses:  75
                                                     ✓ If most of the data are on the left side of the histogram but a few larger
                                                        values are on the right, the data are said to be skewed to the right.
                                                        Histogram A in Figure 5-1 shows an example of data that are skewed to
                                                        the right. The few larger values bring the mean upwards but don’t really
                                                        affect the median. So when data are skewed right, the mean is larger than
                                                        the median. An example of such data is NBA salaries.
                                                     ✓ If most of the data are on the right, with a few smaller values showing up
                                                        on the left side of the histogram, the data are skewed to the left.
                                                        Histogram B in Figure 5-1 shows an example of data that are skewed
                                                        to the left. The few smaller values bring the mean down, and again the
                                                        median is minimally affected (if at all). An example of skewed-left data is
                                                        the amount of time students use to take an exam; some students leave
                                                        early, more of them stay later, and many stay until the bitter end (some
                                                        would stay forever if they could!). When data are skewed left, the mean
                                                        is smaller than the median.
                                                     ✓ If the data are symmetric, they have about the same shape on either side
                                                        of the middle. In other words, if you fold the histogram in half, it looks
                                                        about the same on both sides.
                                                        Histogram C in Figure 5-1 shows an example of symmetric data in a his-
                                                        togram. With symmetric data, the mean and median are close together.
                                                    By looking at Histogram A in Figure 5-1 (whose shape is skewed right), you
                                                    can see that the “tail” of the graph (where the bars are getting shorter) is
                                                    to the right, while the “tail” is to the left in Histogram B (whose shape is
                                                    skewed left). By looking at the direction of the tail of a skewed distribution,
                                                    you determine the direction of the skewness. Always add the direction when
                                                    describing a skewed  distribution.





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