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SecTIoN 1D  Describing Quantitative Data with Numbers   53


                                                   •  Shape: Figure 1.10 shows the mean and median for dotplots with three
                                                     different shapes. Notice how these two measures of center compare in
                                                     each case. The mean is pulled in the direction of the long tail in a skewed
                                                     distribution.

                                                                                                       2- Do Not Copy
                                          Skewed to the left              Roughly symmetric             Skewed to the right
                                           Mean < median                   Mean ≈ median                 Mean > median
                                                Median  = 19
                                                                       Median  = 23.05                    Median  = 3

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                                   13  14  15  16  17  18  19  20  21  21.5  22  22.5  23  23.5  24  24.5  25  0  4  6  8  10  12
                                                 Mean = 17.97               Mean = 22.96               Mean = 4.14
                                   (a)       Quiz score          (b)    Head circumference (in.)  (c)     Runs scored

                                   FIGURE 1.10  Dotplots that show the relationship between the mean and the median in distributions with
                                   different shapes: (a) scores on a 20-point quiz for each of the 30 students in a statistics class, (b) head
                                   circumference (in inches) for 30 players on a youth football team, and (c) runs scored by a softball team in
                                   21 games played.

                                                   •  Outliers: We noted earlier that the median is a resistant measure of center, but
                                                     the mean is not. If we remove the two possible outliers (10 and 12) in Figure
                                                     1.10(c), the mean number of runs scored per game decreases from 4.14 to
                                                     3.42, but the median number of runs scored is still 3.


                                                              EFFECT OF SKEWNESS AND OUTLIERS ON
                                                                         MEASURES OF CENTER

                                                     •  If a distribution of quantitative data is roughly symmetric and has no
                                                        outliers, the mean and the median will be similar.
                                                     •  If the distribution is strongly skewed, the mean will be pulled in the
                                                        direction of the skewness but the median won’t. For a right-skewed
                                                        distribution, we expect the mean to be greater than the median. For
                                                        a left-skewed distribution, we expect the mean to be less than the
                                                        median.
                                                     •  The median is resistant to outliers but the mean isn’t.



                                                     The mean and the median measure center in different ways, and both are
                                                   useful. In Major League Baseball (MLB), the distribution of player salaries is
                                                   strongly skewed to the right. Most players earn close to the minimum salary,
                                                   which was $700,000 in 2022, while a few earn more than $20 million. The
                                                   median salary for MLB players in 2022 was about $1.2 million — but the mean
                                                   salary was about $4.4 million. Max Scherzer, Mike Trout, Anthony  Rendon,
                                                   Gerrit Cole, Carlos Correa, Manny Machado, and several other highly paid
                                                   superstars pulled the mean up but their huge paychecks did not affect the
                                                   median. The median gives us a good idea of what a “typical” MLB salary is.
                                                   If we want to know the total salary paid to MLB players in 2022, however, we
                                                   would multiply the mean salary by the total number of players: ($4.4 million)
                                                   (975) ≈ $4.3 billion!





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