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96     CHAPTER 2   •  Modeling One-Variable Quantitative Data

                19.  The speed limit is set at the value   of major league batting averages has changed over
                that will have 85% of the vehicles on that   the  years.  The  distributions  are  quite  symmetric,
                road traveling at a speed less than the   except  for  outliers  such  as  Cobb,   Williams,  and
                                                          Brett. While the mean batting average has been held
                                                                                                            580
                                                                                                       575
                                                                                                  570
                speed limit.                              roughly  constant  by  rule  changes  and  the  balance   565  Long-jump distance (cm)  585
                                                          between hitting and pitching, the standard deviation
                20.  The 90th percentile means that 90%   has dropped over time. Here are the facts: 6  n  Mean  SD  Min  Q 1  Med  Q 3  Max
                of men like Larry have cholesterol levels                                   40 577.3 4.713 564 574.5 577  581.5  586
                that are lower than his. When it comes to   Decade  Mean  Standard deviation  (a)  Sedona was one of the athletes at this meet. Her
                                                                          0.0371
                                                            1910s
                                                                  0.266
                cholesterol, a high number is not desirable.  1940s  0.267  0.0326         best  long  jump  measured  571  centimeters.  Find
                                                                                           Sedona’s percentile. Interpret this value.
                21.  (a) 27/300.9. Connor’s head            1980s  0.261  0.0317         (b)  Find and interpret the standardized score (z-score)
                          =
                circumference is at the 90th percentile.      Who had the best performance for the decade he   for Sedona’s best long jump.
                90% of players on the team have a         played? Explain your reasoning.  (c)  In the distribution of high jump performances at
                                                                                           the meet, Sedona’s z-score was −1.03. Which of her
                           (C) 2021 BFW Publishers -- for review purposes only.
                smaller head circumference than Connor.  Applying the Concepts             jumps was better? Explain your reasoning.
                     24  −22.697                                                         23.  Big  or  little?  Mrs.  Munson  wants  to  know  how
                (b) z =       =1.22. Connor’s head     19.  Setting speed limits According to the Los Angeles   her son’s height and weight compare with those of
                        1.07                              Times, speed limits on California highways are set   other boys his age. She uses an online calculator to
                circumference is 1.22 standard deviations   at  the  85th  percentile  of  vehicle  speeds  on  those   determine that her son is at the 48th percentile for
                                                          stretches of road. Explain to someone who knows
                above the mean head circumference.        little statistics what that means.  weight and the 76th percentile for height. Explain
                                                                                           to Mrs. Munson what these values mean.
                (c) Yes, because Connor’s z-score for head   20.  Percentile pressure Larry came home very excited after   24.  Run faster Peter is a star runner on the track team. In
                circumference  z =(  1.22) is greater than   a visit to his doctor. He announced proudly to his wife,   the league championship meet, Peter records a time
                                                          “My doctor says my cholesterol level is at the 90th
                his z-score for height  z =(  0.87).      percentile among men like me. That means I’m bet-  that would fall at the 80th percentile of all of his
                                                                                           race times that season. But his performance places
                                                          ter off than about 90% of similar men.” How should   him at the 50th percentile in the league champion-
                22.  (a) 3/400.075. Sedona’s best         his wife, who has taken statistics, respond to Larry’s   ship meet. Explain how Peter’s performances com-
                          =
                long jump is at the 7th percentile.       statement?                       pare. (Remember that shorter times are better in this
                7% of the athletes at the meet had a   21.  Wear your helmet! Many athletes (and their parents)   scenario!)
                best long jump that is less than Sedona’s.   worry about the risk of concussions when playing   Extending the Concepts
                                                          sports. A  football  coach  plans  to  obtain  specially
                     571 −577.3                           made helmets for his players that are designed to   A cumulative relative frequency graph plots a point corre-
                (b) z =       =−1.34. Sedona’s best       reduce the chance of getting a concussion. Here are   sponding to the percentile of a given value in a distribution
                       4.713                              a dotplot and numerical summaries of the head cir-  of  quantitative  data.  Consecutive  points  are  then  con-
                long jump is 1.34 standard deviations below   cumference (in inches) of each player on the team.  nected with a line segment to form the graph. This graph
                                                                                         can be used to describe the location of an individual value
                the mean of the athlete’s best long jumps.   d  d d  dd ddd  d  ddd  dddddd  d  dd  d  d  d  d  d  dd  d  d  in a distribution or to find a specific percentile of the dis-
                (c) High jump, because her z-score for the   21  21.5  22  22.5  23  23.5  24  24.5  25  25.5  tribution. Exercises 25 and 26 involve cumulative relative
                                                                                         frequency graphs.
                high jump  =z(  –1.03) is greater than her      Head circumference (in.)  25.  Household  income  The  cumulative  relative  fre-
                z-score for the long jump  =z(  –1.34).   n  Mean  SD  Min  Q 1  Med  Q 3  Max  quency graph describes the distribution of median
                                                          30  22.697 1.07 20.8  22  22.65 23.4  25.6  household incomes in the 50 states in 2018. 7
                23.  48% of boys the same age as
                Mrs. Munson’s son weigh less than her   (a)  Connor,  the  team’s  starting  quarterback,  has  a   100
                                                          head circumference of 24.0 inches. Find Connor’s
                son, while 76% of boys the same age as      percentile. Interpret this value.  80
                Mrs. Munson’s son are shorter than her son.  (b)  Find and interpret the standardized score (z-score)   60
                                                          for Connor’s head circumference.
                24.  These two percentiles were        (c)  In  the  distribution  of  players’  heights,  Connor’s   Percentile
                calculated within different groups        z-score is 0.87. Is Connor’s head circumference rel-  40
                                                          atively large for his height? Explain your reasoning.
                (80th percentile was out of all of Peter’s   22.  Long jump There were 40 athletes competing in the   20
                race times and the 50th percentile was    long jump at a major track meet. The meet official   0
                out of all racers’ times at this meet). Peter   recorded  the  distance,  to  the  nearest  centimeter,  of   40  50  60  70  80  90
                                                          each athlete’s best jump. Here are a dotplot and some
                must be a star runner because even        numerical summaries of the data.       Median household income ($1000s)
                when he isn’t having one of his personal
                best performances, he is still racing in
                the middle of the pack at the league
                championship meet.                03_StarnesSPA4e_24432_ch02_088_153.indd   96  FYI                        07/09/20   1:54 PM
                                                           TEACHING TIP
                                                                                       The cumulative relative frequency graphs
                                                  A cumulative relative frequency graph always
                                                  increases or stays constant (flat) and always   introduced in exercises 25 and 26 are also
                                                  reaches 100% as its maximum. When a   called ogives (pronounced oh-jive).
                                                  cumulative relative frequency graph increases
                                                  quickly (is very steep) over a particular interval, it
                                                  reveals that many individuals fall in that interval.
                                                  When a cumulative relative frequency graph
                                                  is constant (flat) over a particular interval, no
                                                  individuals fall in that interval.




                96        CHAPTER 2   •   Modeling One-Variable Quantitative Data





          03_TysonTEspa4e_25177_ch02_088_153_4pp.indd   96                                                             10/11/20   7:43 PM
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