Question: Do more educated people tend to marry

> Is there sufficient evidence to conclude that as income (RINCOME) rises people grow more conservative (POLVIEWS)? What is the p-value?

> Simco Inc. is a manufacturer that purchased a new piece of equipment designed to reduce costs. After several months of operation, the results were quite unsatisfactory. The operations manager believes that the problem lies with the machine’s operators, w

> As people grow older do they become more conservative? If so, there should be a positive linear relationship between age (AGE) and political philosophy (POLVIEWS). Use an appropriate statistical procedure to determine whether there is enough evidence to

> Discuss what assumption(s) is necessary to make the POLVIEWS spectrum responses an interval variable.

> Are more educated people (EDUC) more likely to believe that that compared to their parents at their age their standard of living is better (PARSOL: 1 = Much better, 2 = Somewhat better, 3 = About the same, 4 = Somewhat worse, 5 = Much worse)? Perform an

> Can we conclude from the data that more educated (EDUC) people are more likely to perceive themselves as healthier (HEALTH: 1 = Excellent, 2 = Good, 3 = Fair, 4 = Poor)?

> Can we infer from the data that jobs that are most secure (JOBLOSE: 1 =Very likely, 2 = Fairly likely, 3 = Not too likely, 4 = Not likely) are also the most satisfying (SATJOB: 1 = Very satisfied, 2 = Moderately satisfied, 3 = A little dissatisfied, 4 =

> Do the most satisfying jobs also produce the highest income? Test to determine whether there is enough evidence to infer that more satisfying jobs (SATJOB: 1 = Very satisfied, 2 = Moderately satisfied, 3 = A little dissatisfied, 4 = Very dissatisfied) ha

> Is there sufficient evidence to infer that more educated (EDUC) people read newspapers more often (NEWS: 1 = Every day, 2 = A few times per week, 3 = Once a week, 4 = Less than once a week, 5 = Never)?

> Do older Americans have a greater fear of losing their jobs? Test to determine whether there is enough evidence to conclude that as one gets older (AGE) the probability of losing one’s job ( JOBLOSE: 1 = Very likely, 2 = Fairly likely, 3 = Not too likely

> Are richer (RINCOME) Americans pessimistic about their children’s chances of having a higher standard of living (KIDSSOL: When your children are at your age will their standard of living be. . . 1. Much better, 2. Somewhat better, 3. About the same, 4. S

> Are richer people healthier? Conduct a test to determine whether there is enough evidence to infer that higher income (RINCOME) individuals are healthier (HEALTH: Would you say your own health, in general, is . . . 1. Excellent, 2. Good, 3. Fair, 4. Poor

> Flonase is a nasal allergy treatment; like all drugs, it has side effects. Before approving it, the company (GlaxoSmithKline) performs a number of experiments to determine the drug’s side effects. In one such experiment, a random sample of 1,707 voluntee

> Does age (AGE) affect one’s belief concerning the federal income tax that one has to pay (TAX: Do you consider the amount of federal income tax that you have to pay as too high, about right, or too low: 1 = Too high, 2 = About right, 3 = Too low)?

> If one works longer hours (HRS1) does the chances of losing one’s job (JOBLOSE: 1 = Very likely, 2 = Fairly likely, 3 = Not too likely, 4 = Not likely) become less likely? Conduct a test to answer the question.

> Is it a myth that younger Americans do not read newspapers, choosing instead to get their news from the Internet or television (or not at all)? Conduct a test to determine whether there is sufficient statistical evidence to conclude that younger people (

> Pick any 1 (or more) of the 11 exercises above and briefly describe why the prediction interval is so wide.

> Refer to Exercise 16.65. Position on the issue of whether government should reduce income differences of someone who works 50 hours per week. Data from Exercise 16.65: Are harder-working Americans more likely to urge to want government to reduce income

> Refer to Exercise 16.64. Number of years of education of a person whose mother had 20 years of education. Data from Exercise 16.64: Is there sufficient evidence of a positive linear relationship between the years of education (EDUC) and the years of edu

> Refer to Exercise 16.63. Number of years of education of a person whose father had 15 years of education. Data from Exercise 16.63: Does the amount of education that one completes influence the amount of education his son or daughter completes? Test the

> Refer to Exercise 16.62. Number of children of a person with 11 years of education. Data from Exercise 16.62: We would expect that more educated people would have fewer children. Analyze the relationship between education (EDUC) and number of children (

> Refer to Exercise 16.59. Income of someone with one child. Data from Exercise 16.59: An economic theory suggests that as people become richer, they tend to have more children. Analyze the relationship between income (INCOME) and number of children (CHI

> Refer to Exercise 16.56. Total family income of a family with four earners. Data from Exercise 16.56: How does having more family members earning income (EARNRS) affect total family income (INCOME)? Conduct an analysis to determine whether there is a po

> The cost of taking an extra year to earn an MBA is quite high. To determine whether it is worthwhile, a BBA graduate surveyed 200 people who had either a BBA or an MBA and recorded their annual salary (in $1,000s) after 5 years of work. The student deter

> Refer to Exercise 16.55. Number of hours of television per day of a 65-year-old. Data from Exercise 16.55: Television advertisers always want to know who is watching their televised advertising. Do older people watch more television than do younger peop

> Refer to Exercise 16.54. Number of hours of t work per week for some who is 60 years old. Data from Exercise 16.54: Is there a linear relationship between age (AGE) and how many hours per week one works (HRS1)? Conduct a test to answer the question.

> Refer to Exercise 16.53. Income of someone who works 40 hours per week. Data from Exercise 16.53: It seems rather obvious that the longer one works the more one earns. The question is how much more one earns annually for each additional hour of work. Co

> Refer to Exercise 16.52. Number of hours of television watching per day for people with 12 years of education. Data from Exercise 16.52: Does television appeal to the lowest common denominator? If so, we would expect more educated people to watch less t

> Refer to Exercise 16.51. Annual income of someone who is 45 years old. Data from Exercise 16.51: Conduct an analysis of the relationship between income (RINCOME) and age (AGE). Estimate with 95% confidence the average increase in income for each additio

> How does educational attainment affect newspaper readership? Is there enough evidence to conclude that there are differences between the five educational attainment groups (DEGREE: Highest degree completed of respondent, spouse, father, mother: 0 = Left

> Are there differences between the races with respect to their perceptions of their health (HEALTH: Would you say your own health, in general, is . . . 1. Excellent, 2. Good, 3. Fair, 4. Poor)? Use an appropriate statistical technique to determine whether

> Can we infer from the data that liberals, moderates, and conservatives (POLVIEWS3: 1 = Liberal, 2 = Moderate, 3 = Conservative) differ in their views about the federal income tax that they have to pay (TAX: Do you consider the amount of federal income ta

> Is there enough statistical evidence to conclude that Democrats, Republicans, and Independents (PARTYID3: 1 = Democrat, 2 = Independent, 3 = Republican) differ in their views about the federal income tax that they have to pay (TAX: Do you consider the am

> Is there enough statistical evidence to infer that there are differences between the three race categories (RACE) with respect to how likely they are to lose their jobs (JOBLOSE: 1 = Very likely, 2 = Fairly likely, 3 = Not too likely, 4 = Not likely)?

> In Chapter 7, we showed that diversification reduces the risk associated with a portfolio of investments. (Most experts advise their clients that the portfolios should contain between 20 and 30 stocks scattered in different industries.) Do investors unde

> Do less-educated people believe that they have a higher probability of losing their job? Test to determine whether there is enough evidence to conclude that there are differences in perceived likelihood of losing their jobs ( JOBLOSE: 1 = Very likely, 2

> Are there differences between the five categories of marital status (MARITAL) with respect to health (HEALTH: 1 = Excellent, 2 = Good, 3 = Fair, 4 = Poor)? Conduct a statistical test to answer the question.

> Respondents were asked the following question, Compared to your parents at your age is your standard of living (PARSOL: 1 = Much better, 2 = Somewhat better, 3 = About the same, 4 = Somewhat worse, 5 = Much worse)? Test to determine whether we can infer

> Do more educated people derive more satisfaction from their jobs? Test to determine whether there are differences in job satisfaction (SATJOB: 1 = Very satisfied, 2 = Moderately satisfied, 3 = A little dissatisfied, 4 = Very dissatisfied) between the deg

> Do married couples typically have the same completed degrees? Conduct a test to determine whether there is enough evidence to conclude that married couples do not have the same degrees (DEGREE, SPDEG, Highest degree completed of respondent and spouse: 0

> The survey asked these two questions. 1. Compared to your parents at your age is your standard of living . . . (PARSOL: 1 = Much better, 2 = Somewhat better, 3 = About the same, 4 = Somewhat worse, 5= Much worse)? 2. When your children are at your age wi

> Are harder-working Americans more likely to urge to want government to reduce income differences? Test to determine whether there is sufficient evidence of a positive linear relationship between hours of work per week (HRS1) and position on whether gover

> Refer to Exercise 16.63. Is there sufficient evidence of a positive linear relationship between the years of education (EDUC) and the years of education of one’s mother (MAEDUC)? Data from Exercise 16.63: Does the amount of education that one completes

> Does the amount of education that one completes influence the amount of education his son or daughter completes? Test the relationship between a person’s education (EDUC) and his or her father’s education (PAEDUC).

> Refer to Exercise 16.61. We would expect that more educated people would have fewer children. Analyze the relationship between education (EDUC) and number of children (CHILDS). Data from Exercise 16.61: Does staying in university longer mean that postpon

> An important measure of the health of a nation’s economy is total debt. A Canadian survey asked a random sample of households how much money (in $1,000s) they owed. This includes mortgages, loans, and credit card debt. Assuming that there are 10 million

> Does staying in university longer mean that postpone having children? If so, we would expect a positive linear relationship between years of education (EDUC) and the age when one has his or her first child (AGEKDBORN). Test to determine whether there is

> If one spouse works longer hours does this mean that the other spouse also works longer hours? Test the relationship between HRS1 and SPHRS1 to answer the question.

> An economic theory suggests that as people become richer they tend to have more children. Analyze the relationship between income (INCOME) and number of children (CHILDS) to test the theory.

> Were Americans more optimistic about their children’s standard of living (KIDSSOL: When your children are at the age you are now, do you think their standard of living will be 1 = Much better, 2 = Somewhat better, 3 = About the same, 4 = Somewhat worse,

> Were Americans more worried about their chances of losing their jobs (JOBLOSE: 1 = Very likely, 2 = Fairly likely, 3 = Not too likely, 4 = Not likely) in 2012 than in 2014?

> Is there sufficient evidence to infer that Americans were healthier (HEALTH: 1 = Excellent, 2 = Good, 3 = Fair, 4 = Poor) in 2012 than in 2014?

> It is well known that on average women live about four years longer than men. However, are they healthier? Conduct a test to determine if women (SEX: 1 = Male, 2 = Female) consider themselves to be healthier than men (HEALTH: 1 = Excellent, 2 = Good, 3 =

> Can we infer that women are more likely than men to lose their jobs in the next 12 months (JOBLOSE: In the next 12 months how likely is it that you will lose your job or be laid off: 1 = Very likely, 2 = Fairly likely, 3 = Not too likely, 4 = Not likely)

> Refer to Exercise 17.20. a. Calculate the correlation between the independent variables. Does it indicate the presence of multicollinearity? Explain. b. Test the correlation between each independent variable and the dependent variable. Which independent

> Refer to Exercise A19.9. The economist also wanted to know whether there are differences in miles driven between cars, buses, and vans, pickups, and SUVs. Data from Exercise A19.9: The high price of gasoline is likely to lead to less travel. An economis

> Refer to Exercise 17.19. a. Calculate the correlation between the independent variables. Does it indicate the presence of multicollinearity? Explain b. Test the correlation between each independent variable and the dependent variable. Which independent

> Refer to Exercise 17.18. Calculate the correlation between the father’s and the mother’s years of education. Is there any sign of multicollinearity? Explain. Data from Exercise 17.18: How does the amount of education of one’s parents (PAEDUC, MAEDUC) af

> Refer to Exercise 17.21. a. Calculate the correlation matrix. b. Are there signs of the presence of multicollinearity? Explain. c. Test the correlation between each independent variable and the dependent variable. Which independent variables are linearly

> Refer to Exercise 17.24. Run a stepwise regression and report the differences between this regression and the one in Exercise 17.24. Data from Exercise 17.24: Repeat Exercise 17.23 for expenditures on food away from home (FOODAWAY).

> Refer to Exercise 17.21. Use stepwise regression to answer the question. Data from Exercise 17.21: What determines people’s opinion on the following question, Should the government improve the standard of living of poor people (HELPPOOR: 1 = Government

> Refer to Exercise 17.20. Use stepwise regression to calculate the equation. Data from Exercise 17.20: The Nielsen Ratings estimate the number of televisions tuned to various channels. However, television executives need more information. The General Soc

> Refer to Exercise 19.24. Is there sufficient evidence to infer that people who work for themselves (WRKSLF: 1 = Self-employed, 2 = Work for someone else) differ from those who work for someone else with respect to how they describe the federal income tax

> Do Democrats and Republicans (PARTYID3:1 = Democrat, 3 = Republican) differ in their views about the federal income tax that they have to pay (TAX: Do you consider the amount of federal income tax which you have to pay as too high, about right, or too lo

> Almost everyone dreams of being richenough to quit working. Respondents were asked, If you were to get enough money to live as comfortably as you would like for the rest of your life, would you continue to work, or would you stop working (RICHWORK: 1 = C

> Can we infer that men and women (SEX: 1 = Male, 2 = Female) differ in their preference for work that is important and gives a feeling of accomplishment?

> The high price of gasoline is likely to lead to less travel. An economist specializing in energy uses wanted to learn more about driving habits, and, in particular, distances traveled by cars, buses, vans, and trucks. In the latest year data were availab

> Working for one’s self generally means that the amount of time devoted to work is up to the individual. Is there sufficient evidence to conclude that people who work for themselves (WRKSLF: 1 = Self , 2 = Someone else) prefer shorter work hours with lots

> There appear to be many attractive featuresof government jobs, the most attractive being job security. But is this actually the case? Conduct a test to determine whether government workers (WRKGOVT: 1 = Government, 2 = Private) show a greater preference

> To determine the effect of union membership run a regression with income (RINCOME) as the dependent variable and age (AGE), education (EDUC), number of hours worked per week (HRS1), and union membership (UNION:1 = Respondent belongs, 2 = Spouse belongs,

> Can we infer that there are differences in income (RINCOME) between Americans born in the United States and those born elsewhere (BORN: 1 = United States, 2 = Elsewhere), after removing the effects of age (AGE), education (EDUC), and weekly hours of work

> Conduct a regression analysis with position on the question, should the government help poor people (HELPPOOR: 1 = Government action; 2, 3, 4, 5 = People should help themselves) as the dependent variable and age (AGE), income (RINCOME), education (EDUC),

> Conduct a regression analysis with number of hours of television per day (TVHOURS) to determine whether there is enough evidence to infer that there are differences between the three race categories (RACE: 1 = White, 2 = Black, 3 = Other) after removing

> Can we infer that there are differences in income (RINCOME) between people who work for the government and people who work for private employers (WRKGOVT: 1 = Government, 2 = Private) after removing the effects of age (AGE), education (EDUC), and weekly

> Conduct a regression analysis with position on the question, should the government help poor people? Use (HELPPOOR: 1 = Government action; 2, 3, 4, 5 = People should help themselves) as the dependent variable and age (AGE), education (EDUC), income (RINC

> Can we infer that men and women (SEX: 1 = Male, 2 = Female) differ in the amount of television per day (TVHOURS) after removing the effects of age (AGE) and education (EDUC)?

> Repeat Exercise 18.25 using political views (POLVIEWS3: 1 = Liberal, 2 = Moderate, 3 = Conservative) instead of political party. a. Is there sufficient evidence to infer that liberals are more likely than moderates to believe that government should reduc

> The issue of immigration, legal and illegal, has political and economic ramifications. An important component of the issue is how well immigrants integrate into the American economy. A University of Florida study attempted to answer this question. Resear

> Develop a multiple regression model with the position on the question, should the government reduce income differences (EQWLTH: 1 = Government should reduce income differences; 2, 3, 4, 5, 6, 7 = No government action) as the dependent variable and age (A

> a. Conduct a regression analysis with income (RINCOME) as the dependent variable and age (AGE), education (EDUC), number of hours of work (HRS1), and whether someone worked for him or herself (WRKSLF: 1 = Self, 2 = Someone else) as independent variables.

> Can we infer that men and women (SEX: 1 = Male, 2 = Female) differ in their preference for jobs where there is a chance for advancement?

> Refer to Exercise 19.21. For those who would continue working is it because they consider the work important? Test to determine whether those who would continue working have a higher preference for work they consider important and gives them a feeling of

> What determines people’s opinion on the following question, Should the government improve the standard of living of poor people (HELPPOOR: 1 = Government act; 2, 3, 4, 5 =People should help themselves)? a. Develop a regression analysis using demographic

> The Nielsen Ratings estimate the number of televisions tuned to various channels. However, television executives need more information. The General Social Survey may be the source of this information. Respondents were asked to report the number of hours

> What determines people’s opinion on the following question? Should the government reduce income differences between rich and poor (EQWLTH: 1 = Government should reduce differences; 2, 3, 4, 5, 6, 7 = No government action). a. Develop a regression analysi

> How does the amount of education of one’s parents (PAEDUC, MAEDUC) affect your education (EDUC)? a. Develop a regression model. b. Test the validity of the model. c. Test the two slope coefficients. d. Interpret the coefficients.

> Do men (SEX: 1 = Male, 2 = Female) prefer jobs with higher incomes more than do women? Conduct a statistical test to answer the question.

> Repeat Exercise 16.74 for amount spent on food away from home (FOODAWAY). Data from Exercise 16.74: How much more do households have to spend on food when there are children living at home?

> Why do some students do well in university while others struggle? To help answer this question, a random sample of first-year students at four universities was selected. Those who had a grade point average of more than 3.0 (group 1) and those who had a g

> During the decade of the 1980s, professional baseball thrived in North America. However, in the 1990s attendance dropped, and the number of television viewers also decreased. To examine the popularity of baseball relative to other sports, surveys were pe

> How much more do households have to spend on food when there are children living at home? a. Conduct a test to determine whether there is evidence of a positive linear relationship between total annual amount spent on food at home (FOODHOME) and number o

> It takes many years to build up capital gains. Use a statistical analysis to determine whether there is enough evidence to conclude that as one grows older one increases unrealized capital gains (AGE, KGTOTAL). What is the p-value of the test?

> Another way to interpret the results of Exercise 16.71 is that older people spend less on all food because their families are smaller (children have left home) or that they eat less expensive meals. If so, then we would expect that age (AGE) and amount s

> Are younger middle-class people more likely to eat out at restaurants than older people? Conduct a test to determine whether there is sufficient evidence to infer that age (AGE) and amount spent on food away from home (FOODAWAY) are negatively related?

> It seems obvious that for people who take out student loans more years of education lead to larger student debt. a. Conduct a test to determine whether there is a positive linear relationship between years of education (EDUC) and total value of student l

> An increasing number of people are attending colleges and universities. The effect of this trend is that younger people will be more educated than older people. Conduct a test to determine whether age (AGE) and years of education (EDUC) are negatively li

> Do you need more years of education to get further into debt? This question can be answered by determining the relationship between number of years of education (EDUC) and household debt (DEBT). Undertake a regression analysis to determine the following.

> How does education (EDUC) affect financial success among the heads of middle-class households? Conduct a regression analysis and determine the following. a. Is there evidence of a positive linear relationship between education and total financial assets

> We who educate would like to believe that people who have more education are more likely to do well professionally and financially. Fortunately, we have a number of surveys with real data to confirm our beliefs. Analyze the relationship between years of

> Exercise 13.80 asked whether there is enough evidence to conclude that households whose heads have some college (EDCL: 3 = some college, 4 = college degree) have less debt (DEBT) than households whose heads completed a college degree. a. In order to use