CHAPTER 11 EXERCISES

Question 11.8

11.8 Lightning storms. Figure 11.10 comes from a study of lightning storms in Colorado. It shows the distribution of the hour of the day during which the first lightning flash for that day occurred. Describe the shape, center, and variability of this distribution. Are there any outliers?

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Figure 11.10: Figure 11.10 Histogram of the time of day at which the day’s first lightning flash occurred (from a study in Colorado), Exercise 11.8. (Data from an episode in the Annenberg/Corporation for Public Broadcasting telecourse Against All Odds: Inside Statistics.)

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Figure 11.11: Figure 11.11 Stemplot of the percentage of each state’s residents who are 18 to 34 years old, Exercise 11.9.

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Question 11.9

11.9 Where do 18- to 34-year-olds live? Figure 11.11 is a stemplot of the percentage of residents aged 18 to 34 in each of the 50 states in July 2008. As in Figure 11.6 (page 256) for older residents, the stems are whole percents and the leaves are tenths of a percent.

  1. (a) Utah has the largest percentage of young adults. What is the percentage for this state?

  2. (b) Ignoring Utah, describe the shape, center, and variability of this distribution.

  3. (c) Is the distribution for young adults more or less variable than the distribution in Figure 11.6 for older adults?

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Question 11.10

11.10 Minority students in engineering. Figure 11.12 is a histogram of the number of minority students (black, Hispanic, Native American) who earned doctorate degrees in engineering from each of 152 universities in the years 2000 through 2002. Briefly describe the shape, center, and variability of this distribution. The classes for Figure 11.12 are 1–5, 6–10, and so on.

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Figure 11.12: Figure 11.12 The distribution of the number of engineering doctorates earned by minority students at 152 universities, 2000–2002, Exercise 11.10. (Data from the 2003 National Science Foundation Survey of Earned Doctorates, www.nsf.gov/statistics/srvydoctorates/.)

Question 11.11

11.11 Returns on common stocks. The total return on a stock is the change in its market price plus any dividend payments made. Total return is usually expressed as a percentage of the beginning price. Figure 11.13 is a histogram of the distribution of total returns for all 1528 common stocks listed on the New York Stock Exchange in one year.

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Figure 11.13: Figure 11.13 The distribution of total returns for all New York Stock Exchange common stocks in one year, Exercise 11.11. (Data from J. K. Ford, “Diversification: How Many Stocks Will Suffice?” American Association of Individual Investors Journal, January 1990, pp. 14–16.)
  1. (a) Describe the overall shape of the distribution of total returns.

  2. (b) What is the approximate center of this distribution? Approximately what were the smallest and largest total returns? (This describes the variability of the distribution.)

  3. (c) A return less than zero means that owners of the stock lost money. About what percentage of all stocks lost money?

  4. (d) Explain why we prefer a histogram to a stemplot for describing the returns on 1528 common stocks.

Question 11.12

11.12 More lake levels. Figure 11.14 contains average monthly lake levels for Lake Murray in South Carolina. Describe the shape, center, and variability of the distribution of lake levels.

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Figure 11.14: Figure 11.14 U.S. Geological Survey (USGS) data on average monthly Lake Murray elevations from November 1990 to July 2006, Exercise 11.12.

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Question 11.13

11.13 Automobile fuel economy. Government regulations require automakers to give the city and highway gas mileages for each model of car. Table 11.2 gives the combined highway and city mileages (miles per gallon) for 31 model year 2015 sedans. Make a stemplot of the combined gas mileages of these cars. What can you say about the overall shape of the distribution? Where is the center (the value such that half the cars have better gas mileage and half have worse gas mileage)? Some of these cars are electric and the reported milage is the electric equivalent. These cars have far higher mileage. How many electric cars are in this data set?

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Table : TABLE 11.2 Combined city/highway gas mileage for model year 2015 midsize cars
Model mpg Model mpg
Acura RLX 24 Honda Accord Hybrid 47
Audi A8 22 Hyundai Sonata 37
BMW 528i 27 Infiniti Q40 22
Bentley Mulsanne 13 Jaguar XF 18
Buick LaCrosse 21 Kia Forte 30
Buick Regal 22 Lexus ES 350 24
Cadillac CTS 14 Lincoln MKZ 25
Cadillac CTS AWD 22 Mazda 6 30
Chevrolet Malibu 29 Mercedes-Benz B-Class 84
Chevrolet Sonic 31 Mercedez-Benz E350 23
Dodge Challenger 18 Nissan Altima 31
Ford C-max Energi
Plugin hybrid
88 Nissan Leaf
Rolls Royce Wraith
114
15
Ford Fusion Energi
Plug-in Hybrid
88 Toyota Prius
Toyota Prius Plug-in Hybrid
50
95
Ford Fusion Hybrid 42 Volvo S80 22
Honda Accord 31
Source: www.fueleconomy.gov/feg/byclass/Midsize_Cars2015.shtml.

Question 11.14

11.14 The obesity epidemic. Medical authorities describe the spread of obesity in the United States as an epidemic. Table 11.3 gives the percentage of adults who were obese in each of the 50 states in 2009. Display the distribution in a graph and briefly describe its shape, center, and variability.

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Table : TABLE 11.3 Percentage of adult population who are obese, 2009
State Percent State Percent State Percent
Alabama 31.0 Louisiana 33.0 Ohio 28.8
Alaska 24.8 Maine 25.8 Oklahoma 31.4
Arizona 25.5 Maryland 26.2 Oregon 23.0
Arkansas 30.5 Massachusetts 21.4 Pennsylvania 27.4
California 24.8 Michigan 29.6 Rhode Island 24.6
Colorado 18.6 Minnesota 24.6 South Carolina 29.4
Connecticut 20.6 Mississippi 34.4 South Dakota 29.6
Delaware 27.0 Missouri 30.0 Tennessee 32.3
Florida 25.2 Montana 23.2 Texas 28.7
Georgia 27.2 Nebraska 27.2 Utah 23.5
Hawaii 22.3 Nevada 25.8 Vermont 22.8
Idaho 24.5 New Hampshire 25.7 Virginia 25.0
Illinois 26.5 New Jersey 23.3 Washington 26.4
Indiana 29.5 New Mexico 25.1 West Virginia 31.1
Iowa 27.9 New York 24.2 Wisconsin 28.7
Kansas 28.1 North Carolina 29.3 Wyoming 24.6
Kentucky 31.5 North Dakota 27.9
Source: National Centers for Disease Control and Prevention, www.cdc.gov/obesity/data/databases.html.

Question 11.15

11.15 Yankee money. Table 11.4 gives the salaries of the players on the New York Yankees baseball team for the 2015 season. Make a histogram of these data. Is the distribution roughly symmetric, skewed to the right, or skewed to the left? Explain.

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Table : TABLE 11.4 Salaries of the New York Yankees, 2015
Player Salary ($) Player Salary ($)
CC Sabathia 24,285,714 Nathan Eovaldi 3,300,000
Mark Teixeira 23,125,000 Ivan Nova 3,300,000
Masahiro Tanaka 22,000,000 Dustin Ackley 2,600,000
Alex Rodriguez 22,000,000 Chris Young 2,500,000
Jacoby Ellsbury 21,142,857 Brendan Ryan 2,000,000
Brian McCann 17,000,000 Adam Warren 572,600
Carlos Beltran 15,000,000 Justin Wilson 556,000
Chase Headley 13,000,000 Didi Gregorius 553,900
Brett Gardner 12,500,000 John Ryan Murphy 518,700
Andrew Miller 9,000,000 Chasen Shreve 510,275
Garrett Jones 5,000,000 Dellin Betances 507,500
Stephen Drew 5,000,000
Source: http://espn.go.com/mlb/team/salaries/_/name/nyy/new-york-yankees.

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Question 11.16

11.16 The statistics of writing style. Numerical data can distinguish different types of writing, and sometimes even individual authors. Here are data collected by students on the percentages of words of 1 to 15 letters used in articles in Popular Science magazine:

Length: 1 2 3 4 5
Percent: 3.6 14.8 18.7 16.0 12.5
Length: 6 7 8 9 10
Percent: 8.2 8.1 5.9 4.4 3.6
Length: 11 12 13 14 15
Percent: 2.1 0.9 0.6 0.4 0.2
  1. (a) Make a histogram of this distribution. Describe its shape, center, and variability.

  2. (b) How does the distribution of lengths of words used in Popular Science compare with the similar distribution in Figure 11.4 (page 254) for Shakespeare’s plays? Look in particular at short words (two, three, and four letters) and very long words (more than 10 letters).

Question 11.17

11.17 What’s my shape? Do you expect the distribution of the total player payroll for each of the 30 teams in Major League Baseball to be roughly symmetric, clearly skewed to the right, or clearly skewed to the left? Why?

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Question 11.18

11.18 Asians in the eastern states. Here are the percentages of the population who are of Asian origin in each state east of the Mississippi River in 2008:

State Percent State Percent
Alabama 1.0 New Hampshire 1.9
Connecticut 3.6 New Jersey 7.6
Delaware 2.9 New York 7.0
Florida 2.3 North Carolina 1.9
Georgia 2.9 Ohio 1.6
Illinois 4.3 Pennsylvania 2.4
Indiana 1.4 Rhode Island 2.8
Kentucky 1.0 South Carolina 1.2
Maine 0.9 Tennessee 1.3
Maryland 5.1 Vermont 1.1
Massachusetts 4.9 Virginia 4.9
Michigan 2.4 West Virginia 0.7
Mississippi 0.8 Wisconsin 2.0

Make a stemplot of these data. Describe the overall pattern of the distribution. Are there any outliers?

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Question 11.19

11.19 How many calories does a hot dog have? Consumer Reports magazine presented the following data on the number of calories in a hot dog for each of 17 brands of meat hot dogs:

173 191 182 190 172 147
146 139 175 136 179 153
107 195 135 140 138

Make a stemplot of the distribution of calories in meat hot dogs and briefly describe the shape of the distribution. Most brands of meat hot dogs contain a mixture of beef and pork, with up to 15% poultry allowed by government regulations. The only brand with a different makeup was Eat Slim Veal Hot Dogs. Which point on your stemplot do you think represents this brand?

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Table : TABLE 11.5 Age distribution in the United States, 1950 and 2050 (in millions of persons)
Age group 1950 2050
Under 10 years 29.3 56.2
10 to 19 years 21.8 56.7
20 to 29 years 24.0 56.2
30 to 39 years 22.8 55.9
40 to 49 years 19.3 52.8
50 to 59 years 15.5 49.1
60 to 69 years 11.0 45.0
70 to 79 years 5.5 34.5
80 to 89 years 1.6 23.7
90 to 99 years 0.1 8.1
100 years and over 0.6
Total 151.1 310.6
Source: Statistical Abstract of the United States, www.census.gov/library/publications/2009/compendia/statab/129ed.html; and Census Bureau, www.census.gov/population/projections/.

Question 11.20

11.20 The changing age distribution of the United States. The distribution of the ages of a nation’s population has a strong influence on economic and social conditions. Table 11.5 shows the age distribution of U.S. residents in 1950 and 2050, in millions of persons. The 1950 data come from that year’s census. The 2050 data are projections made by the Census Bureau.

  1. (a) Because the total population in 2050 is much larger than the 1950 population, comparing percentages in each age group is clearer than comparing counts. Make a table of the percentage of the total population in each age group for both 1950 and 2050.

  2. (b) Make a histogram of the 1950 age distribution (in percents). Then describe the main features of the distribution. In particular, look at the percentage of children relative to the rest of the population.

  3. (c) Make a histogram of the projected age distribution for the year 2050. Use the same scales as in part (b) for easy comparison. What are the most important changes in the U.S. age distribution projected for the 100-year period between 1950 and 2050?

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Question 11.21

11.21 Babe Ruth’s home runs. Here are the numbers of home runs that Babe Ruth hit in his 15 years with the New York Yankees, 1920 to 1934:

54 59 35 41 46 25 47 60
54 46 49 46 41 34 22

Make a stemplot of these data. Is the distribution roughly symmetric, clearly skewed, or neither? About how many home runs did Ruth hit in a typical year? Is his famous 60 home runs in 1927 an outlier?

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Question 11.22

11.22 Back-to-back stemplot. The current major league single-season home run record is held by Barry Bonds of the San Francisco Giants. Here are Bonds’s home run counts for 1986 to 2007:

16 25 24 19 33 25
34 46 37 33 42 40
37 34 49 73 46 45
45 5 26 28

A back-to-back stemplot helps us compare two distributions. Write the stems as usual, but with a vertical line both to their left and to their right. On the right, put leaves for Ruth (Exercise 11.21). On the left, put leaves for Bonds. Arrange the leaves on each stem in increasing order out from the stem. Now write a brief comparison of Ruth and Bonds as home run hitters.

Question 11.23

11.23 When it rains, it pours. On July 25 to 26, 1979, 42.00 inches of rain fell on Alvin, Texas. That’s the most rain ever recorded in Texas for a 24-hour period. Table 11.6 gives the maximum precipitation ever recorded in 24 hours (through 2010) at any weather station in each state. The record amount varies a great deal from state to state—hurricanes bring extreme rains on the Atlantic coast, and the mountain West is generally dry. Make a graph to display the distribution of records for the states. Mark where your state lies in this distribution. Briefly describe the distribution.

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Table : TABLE 11.6 Record 24-hour precipitation amounts (inches) by state
State Precip. State Precip. State Precip.
Alabama 32.52 Louisiana 22.00 Ohio 10.75
Alaska 15.20 Maine 13.32 Oklahoma 15.68
Arizona 11.40 Maryland 14.75 Oregon 11.77
Arkansas 14.06 Massachusetts 18.15 Pennsylvania 13.50
California 25.83 Michigan 9.78 Rhode Island 12.13
Colorado 11.08 Minnesota 15.10 South Carolina 14.80
Connecticut 12.77 Mississippi 15.68 South Dakota 8.74
Delaware 8.50 Missouri 18.18 Tennessee 13.60
Florida 23.28 Montana 11.50 Texas 42.00
Georgia 21.10 Nebraska 13.15 Utah 5.08
Hawaii 38.00 Nevada 7.78 Vermont 9.92
Idaho 7.17 New Hampshire 11.07 Virginia 14.28
Illinois 16.91 New Jersey 14.81 Washington 14.26
Indiana 10.50 New Mexico 11.28 West Virginia 12.02
Iowa 13.18 New York 11.15 Wisconsin 11.72
Kansas 13.53 North Carolina 22.22 Wyoming 6.06
Kentucky 10.40 North Dakota 8.10
Source: National Oceanic and Atmospheric Administration, www.noaa.gov.

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