CHAPTER 24 EXERCISES

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Question 24.9

24.9 Is astrology scientific? The University of Chicago’s General Social Survey (GSS) is the nation’s most important social science sample survey. The GSS asked a random sample of adults their opinion about whether astrology is very or sort of scientific or not at all scientific. Is belief that astrology is scientific related to amount of higher education? Here is a two-way table of counts for people in the sample who had three levels of higher education degrees:

Degree Held
Opinion Junior college Bachelor Graduate
Not at all scientific 44 122 71
Very or sort of scientific 31 62 27

Calculate percentages that describe the nature of the relationship between amount of higher education and opinion about whether astrology is very scientific or sort of scientific or not at all scientific. Give a brief summary in words.

Question 24.10

24.10 Weight-lifting injuries. Resistance training is a popular form of conditioning aimed at enhancing sports performance and is widely used among high school, college, and professional athletes, although its use for younger athletes is controversial. A random sample of 4111 patients between the ages of 8 and 30 admitted to U.S. emergency rooms with the injury code “weight-lifting” was obtained. These injuries were classified as “accidental” if caused by dropped weight or improper equipment use. The patients were also classified into the four age categories 8 to 13, 14 to 18, 19 to 22, and 23 to 30 years. Here is a two-way table of the results:

Age Accidental Not accidental Total
8–13 295 102 397
14–18 655 916 1571
19–22 239 533 772
23–30 363 1008 1371
Total 1552 2559 4111

Calculate percentages that describe the nature of the relationship between age and whether the weight-lifting injuries were accidental or not. Give a brief summary in words.

Question 24.11

24.11 Smoking by students and their families. How are the smoking habits of students related to the smoking habits of their close family members? Here is a two-way table from a survey of male students in six secondary schools in Malaysia:

Student smokes Student does not smoke
At least one close family member smokes 115 207
No close family member smokes 25 75

Write a brief answer to the question posed, including a comparison of selected percentages.

590

Question 24.12

24.12 Smoking by parents of preschoolers. How are the smoking habits of parents of preschoolers related to the education of the father? Here is a two-way table from a survey of the parents of preschoolers in Greece:

Both parents smoke One parent smokes Neither parent smokes
University education 42 68 90
Intermediate education 47 69 75
High school education 183 281 273
Primary education or none 69 73 62

Write a brief answer to the question posed, including a comparison of selected percentages.

Question 24.13

24.13 Python eggs. How is the hatching of water python eggs influenced by the temperature of the snake’s nest? Researchers assigned newly laid eggs to one of three temperatures: hot, neutral (room temperature), or cold. Hot duplicates the extra warmth provided by the mother python, and cold duplicates the absence of the mother. Here are the data on the number of eggs and the number that hatched:

Eggs Hatched
Cold 27 16
Neutral 56 38
Hot 104 75
  1. (a) Make a two-way table of temperature by outcome (hatched or not).

  2. (b) Calculate the percentage of eggs in each group that hatched. The researchers anticipated that eggs would not hatch in the cold environment. Do the data support that anticipation?

Question 24.14

24.14 Firearm violence. Here are counts from a study of firearm violence reported by the Annual Review of Public Health in 2015. In particular, we will examine homicides and suicides and whether a firearm was involved.

Firearm No firearm Total
Homicides 8089 3533 11,622
Suicides 10,519 10,147 20,666
  1. (a) Make a bar graph to compare whether a firearm was used in homicides and suicides. What does the graph suggest about deaths involving long guns versus handguns?

  2. (b) Calculate the percentage of homicides and suicides in which firearms were used. Comment on your findings.

Question 24.15

24.15 Who earns academic degrees? How do women and men compare in the pursuit of academic degrees? The following table presents counts (in thousands), as projected by the National Center for Education Statistics, of degrees earned in 2015–2016 categorized by the level of the degree and the sex of the recipient.

Associate’s Bachelor’s Master’s Professional/doctorate
Female 375 788 335 87
Male 577 1059 467 92
Total 952 1847 802 179
  1. (a) How many total people are predicted to earn a degree in the 2015–2016 academic year?

  2. (b) How many people earned associate’s degrees?

  3. (c) What percentage of each level of degree is earned by women? Write a brief description of what the data show about the relationship between sex and degree level.

591

Question 24.16

24.16 Smokers rate their health. The University of Michigan Health and Retirement Study (HRS) surveys more than 22,000 Americans over the age of 50 every two years. A subsample of the HRS participated in a 2009 Internet-based survey that collected information on a number of topical areas, including health (physical and mental health behaviors), psychosocial items, economics (income, assets, expectations, and consumption), and retirement. Two of the questions asked were: “Would you say your health is excellent, very good, good, fair, or poor?” and “Do you smoke cigarettes now?” Here is the two-way table that summarizes the answers on these two questions:

Current smoker
Health Yes No
Excellent 25 484
Very good 115 1557
Good 145 1309
Fair 90 545
Poor 29 11

Describe the differences between the distributions of health status for those who are and are not current smokers with percentages with a graph and in words.

Question 24.17

24.17 Totals aren’t enough. Here are the row and column totals for a two-way table with two rows and two columns:

a b 40
c d 60
60 40 100

Find two different sets of counts , , , and for the body of the table that give these same totals. This shows that the relationship between two variables cannot be obtained from the two individual distributions of the variables.

30 10 40 0
30 30 20 40

Question 24.18

24.18 Airline flight delays. Here are the numbers of flights on time and delayed for two airlines at five airports during a one-month period. Overall on-time percentages for each airline are often reported in the news. The airport that flights serve is a lurking variable that can make such reports misleading.

Alaska Airlines America West
On time Delayed On time Delayed
Los Angeles 497 62 694 117
Phoenix 221 12 4840 415
San Diego 212 20 383 65
San Francisco 503 102 320 129
Seattle 1841 305 201 61
  1. (a) What percentage of all Alaska Airlines flights were delayed? What percentage of all America West flights were delayed? These are the numbers usually reported.

  2. (b) Now find the percentage of delayed flights for Alaska Airlines at each of the five airports. Do the same for America West.

  3. (c) America West does worse at every one of the five airports, yet does better overall. That sounds impossible. Explain carefully, referring to the data, how this can happen. (The weather in Phoenix and Seattle lies behind this example of Simpson’s paradox.)

592

Question 24.19

24.19 Bias in the jury pool? The New Zealand Department of Justice did a study of the composition of juries in court cases. Of interest was whether Maori, the indigenous people of New Zealand, were adequately represented in jury pools. Here are the results for two districts, Rotura and Nelson, in New Zealand (similar results were found in all districts):

Rotura
Maori Non-Maori
In jury pool 79 258
Not in jury pool 8810 23,751
Total 8889 24,009
Nelson
Maori Non-Maori
In jury pool 1 56
Not in jury pool 1328 32,602
Total 1329 32,658
  1. (a) Use these data to make a two-way table of race (Maori or non-Maori) versus jury pool status (In or Not in).

  2. (b) Show that Simpson’s paradox holds: a higher percentage of Maori are in the jury pool overall, but for both districts, a higher percentage of non-Maori are in the jury pool.

  3. (c) Use the data to explain the paradox in language that a judge could understand.

Question 24.20

24.20 Field goal shooting. Here are data on field goal shooting for two members of the Benedict College 2014–2015 men’s basketball team:

Seth Fitzgerald Roberto Mantovani
Made Missed Made Missed
Two-pointers 5 4 62 50
Three-pointers 3 3 1 4
  1. (a) What percentage of all field goal attempts did Seth Fitzgerald make? What percentage of all field goal attempts did Roberto Mantovani make?

  2. (b) Now find the percentage of all two-point field goals and all three-point field goals that Seth made. Do the same for Roberto.

  3. (c) Roberto had a lower percentage for both types of field goals but had a better overall percentage. That sounds impossible. Explain carefully, referring to the data, how this can happen.

Question 24.21

24.21 Smokers rate their health. Exercise 24.16 gives the responses of a survey of 4310 Americans to questions about their health and whether they currently smoke cigarettes.

  1. (a) Do these data satisfy our guidelines for safe use of the chi-square test?

  2. (b) Is there a statistically significant relationship between smoking status and opinions about health?

Question 24.22

24.22 Is astrology scientific? In Exercise 24.9, you described the relationship between belief that astrology is scientific and amount of higher education. Is the observed association between these variables statistically significant? To find out, proceed as follows.

  1. (a) Add the row and column totals to the two-way table in Exercise 24.9 and find the expected cell counts. Which observed counts differ most from the expected counts?

  2. (b) Find the chi-square statistic. Which cells contribute most to this statistic?

  3. (c) What are the degrees of freedom? Use Table 24.1 to say how significant the chi-square test is. Write a brief conclusion for your study.

593

Question 24.23

24.23 Smoking by students and their families. In Exercise 24.11, you saw that there is an association between smoking by close family members and smoking by high school students. The students are more likely to smoke if a close family member smokes. We want to know whether this association is statistically significant.

  1. (a) State the hypotheses for the chi-square test. What do you think the population is?

  2. (b) Find the expected cell counts. Write a sentence that explains in simple language what “expected counts’’ are.

  3. (c) Find the chi-square statistic and its degrees of freedom. What is your conclusion about significance?

Question 24.24

24.24 Python eggs. Exercise 24.13 presents data on the hatching of python eggs at three different temperatures. Does temperature have a significant effect on hatching? Write a clear summary of your work and your conclusion.

Question 24.25

image 24.25 Stress and heart attacks. You read a newspaper article that describes a study of whether stress management can help reduce heart attacks. The 107 subjects all had reduced blood flow to the heart and so were at risk of a heart attack. They were assigned at random to three groups. The article goes on to say:

One group took a four-month stress management program, another underwent a four-month exercise program, and the third received usual heart care from their personal physicians.

In the next three years, only three of the 33 people in the stress management group suffered “cardiac events,’’ defined as a fatal or non-fatal heart attack or a surgical procedure such as a bypass or angioplasty. In the same period, seven of the 34 people in the exercise group and 12 out of the 40 patients in usual care suffered such events.

  1. (a) Use the information in the news article to make a two-way table that describes the study results.

  2. (b) What are the success rates of the three treatments in preventing cardiac events?

  3. (c) Find the expected cell counts under the null hypothesis that there is no difference among the treatments. Verify that the expected counts meet our guideline for use of the chi-square test.

  4. (d) Is there a significant difference among the success rates for the three treatments?

594

Question 24.26

24.26 Standards for child care. Do unregulated providers of child care in their homes follow different health and safety practices in different cities? A study looked at people who regularly provided care for someone else’s children in poor areas of three cities. The numbers who required medical releases from parents to allow medical care in an emergency were 42 of 73 providers in Newark, New Jersey, 29 of 101 in Camden, New Jersey, and 48 of 107 in South Chicago, Illinois.

  1. (a) Use the chi-square test to see if there are significant differences among the proportions of child care providers who require medical releases in the three cities. What do you conclude?

  2. (b) How should the data be produced in order for your test to be valid? (In fact, the samples came in part from asking parents who were subjects in another study who provided their child care. The author of the study wisely did not use a statistical test. He wrote: “Application of conventional statistical procedures appropriate for random samples may produce biased and misleading results.’’)

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