Question: Repeat Exercise 4.152 using wage and

> The mark on a statistics exam that consists of 100 multiple-choice questions is a random variable. a. What are the possible values of this random variable? b. Are the values countable? Explain. c. Is there a finite number of values? Explain. d. Is the ra

> The amount of money students earn on their summer jobs is a random variable. a. What are the possible values of this random variable? b. Are the values countable? Explain. c. Is there a finite number of values? Explain. d. Is the random variable discrete

> The distance a car travels on a tank of gasoline is a random variable. a. What are the possible values of this random variable? b. Are the values countable? Explain. c. Is there a finite number of values? Explain. d. Is the random variable discrete or co

> The number of accidents that occur on a busy stretch of highway is a random variable. a. What are the possible values of this random variable? b. Are the values countable? Explain. c. Is there a finite number of values? Explain. d. Is the random variable

> Refer to Exercise 7.59. a. What proportions of homes have one carbon monoxide detector and two smoke detectors? b. What proportion of homes with one carbon monoxide detector have two smoke detectors? c. What proportion of homes with two smoke detectors h

> Suppose that there are two people in a room. The probability that they share the same birthday (date, not necessarily year) is 1/365, and the probability that they have different birthdays is 364/365. To illustrate, suppose that you’re in a room with one

> In the last part of the 20th century, scientists developed the theory that the planet was warming and the primary cause was the increasing amounts of carbon dioxide (CO2), which is the product of burning oil, natural gas, and coal (fossil fuels). Althoug

> Did you conclude in Case 4.1 that the earth has warmed since 1880 and that there is some linear relationship between CO2 and temperature anomalies? If so, here is another look at the same data. C04-02a lists the temperature anomalies from 1880 to 1940, C

> Now that we have presented techniques that allow us to conduct more precise analyses, we’ll return to Case 3.1. Recall that there are two issues in this discussion. First, is there global warming and, second, if so, is carbon dioxide the cause? The only

> Since the 1960s, Québécois have been debating whether to separate from Canada and form an independent nation. A referendum was held on October 30, 1995, in which the people of Quebec voted not to separate. The vote was extremely close, with the “no” side

> The 2004–2005 hockey season was cancelled because of a player strike. The key issue in this labor dispute was a “salary cap.” The team owners wanted a salary cap to cut their costs. The owners of small-market teams wanted the cap to help their teams be c

> Adam Smith published The Wealth of Nations in 1776 in which he argued that when institutions protect the liberty of individuals, greater prosperity results for all. Since 1995, the Wall Street Journal and the Heritage Foundation, a think tank in Washingt

> Pregnant women are screened for a birth defect called Down syndrome. Down syndrome babies are mentally and physically challenged. Some mothers choose to abort the fetus when they are certain that their baby will be born with the syndrome. The most common

> Refer to Case 6.2. Another baseball strategy is to attempt to steal second base. Historically the probability of a successful steal of second base is approximately 68%. The probability of being thrown out is 32%. (We’ll ignore the relat

> No sport generates as many statistics as baseball. Reporters, managers, and fans argue and discuss strategies on the basis of these statistics. An article in Chance (“A Statistician Reads the Sports Page,” Hal S. Stern

> A fire inspector has conducted an extensive analysis of the number of smoke detectors and the number of carbon monoxide detectors in the homes in a large city. The analysis led to the creation of the following bivariate probability distribution. a. What

> A number of years ago, there was a popular television game show called Let’s Make a Deal. The host, Monty Hall, would randomly select contestants from the audience and, as the title suggests, he would make deals for prizes. Contestants would be given rel

> Refer to Exercises 7.82 and 7.83. a. Compute the expected value and variance of this portfolio: UNH: .191, UTX: .213, VZ: .370, WMT: .226 b. Can you do better? That is, can you find a portfolio whose expected value is greater than or equal to .0100 and w

> The number of magazine subscriptions per household is represented by the following probability distribution. a. Calculate the mean number of magazine subscriptions per household. b. Find the standard deviation. Magazine subscriptions per household 0

> Refer to Exercise 4.140. Suppose that in addition to recording the coffee sales, the manager also recorded the average temperature (measured in degrees Fahrenheit) during the game. These data together with the number of cups of coffee sold were recorded.

> Compute the coefficient of determination and the least squares line for Exercise 3.64. Compare this information with that developed by the scatter diagram alone. Data from Exercise Data from Exercise.64: One general belief held by observers of the busine

> The best way of winning at blackjack is to “case the deck,” which involves counting 10s, non-10s, and aces. For card counters, the probability of winning a hand may increase to 52%. Repeat Exercise 7.102 for a card counter. Data from Exercise 7.102: Repe

> Several books teach blackjack players the “basic strategy,” which increases the probability of winning any hand to 50%. Repeat Exercise 7.102, assuming the player plays the basic strategy. Data from Exercise 7.102: Repeat Exercise 7.100 using Excel. Data

> According to the American Academy of Cosmetic Dentistry, 75% of adults believe that an unattractive smile hurts career success. Suppose that 25 adults are randomly selected. a. What is the probability that 15 or more of them would agree with the claim? b

> The leading brand of dishwasher detergent has a 30% market share. A sample of 25 dishwasher detergent customers was taken. a. What is the probability that 10 or fewer customers chose the leading brand? b. What is the probability that 11 or more customers

> Repeat Exercise 7.106 using Excel. Data from Exercise 7.106: Suppose X is a binomial random variable with n = 25 and p = .7. Use Table 1 to find the following. a. P(X = 18) b. P(X = 15) c. P(X ≤ 20) d. P(X ≥ 16)

> Refer to Exercise 7.56. Find the following conditional probabilities. a. P(1 refrigerator ∣ 0 stoves) b. P(0 stoves ∣ 1 refrigerator) c. P(2 refrigerators ∣ 2 stoves) Data from Exercise 7.56: After analyzing several months of sales data, the owner of an

> Suppose X is a binomial random variable with n = 25 and p = .7. Use Table 1 to find the following. a. P(X = 18) b. P(X = 15) c. P(X ≤ 20) d. P(X ≥ 16)

> Repeat Exercise 7.103 using Excel. Data from Exercise 7.103: Given a binomial random variable with n = 6 and p = .2, use the formula to find the following probabilities. a. P(X = 2) b. P(X = 3) c. P(X = 5)

> Repeat Exercise 7.103 using Table 1 in Appendix B. Data from Exercise 7.103: Given a binomial random variable with n = 6 and p = .2, use the formula to find the following probabilities. a. P(X = 2) b. P(X = 3) c. P(X = 5)

> Repeat Exercise 7.100 using Excel. Data from Exercise 7.100: Given a binomial random variable with n = 10 and p = .3, use the formula to find the following probabilities. a. P(X = 3) b. P(X = 5) c. P(X = 8)

> Repeat Exercise 7.100 using Table 1 in Appendix B. Data from Exercise 7.100: Given a binomial random variable with n = 10 and p = .3, use the formula to find the following probabilities. a. P(X = 3) b. P(X = 5) c. P(X = 8)

> Refer to Exercise 7.97. a. Compute the expected value and variance of the portfolio described next. INTC: 20.9%, ORCL: 7.4%, SIRI: 11.9%, SBUX: 59.8% b. Can you do better? That is, can you find a portfolio whose expected value is greater than or equal to

> Refer to Exercise 7.92. a. Compute the expected value and variance of the portfolio described next. BNS: 44.0%, CNR: 27.5%, CTC.A: 21.9%, MG: 6.6% b. Can you do better? That is, can you find a portfolio whose expected value is greater than or equal to 1%

> During 2002 in the state of Florida, a total of 365,474 drivers were involved in car accidents. The accompanying table breaks down this number by the age group of the driver and whether the driver was injured or killed. (There were actually 371,877 accid

> Coin collecting is big business around the world. As an illustration, there are more than 500,000 American coins and more than 100,000 Canadian coins for sale/auction on Ebay. Moreover, there are dozens of other coin auctions every month. There are three

> One general belief held by observers of the business world is that taller men earn more money than shorter men. In a University of Pittsburgh study, 250 MBA graduates, all about 30 years old, were polled and asked to report their height (in inches) and t

> Canadians who visit the United States often buy liquor and cigarettes, which are much cheaper in the United States. However, there are limitations. Canadians visiting in the United States for more than 2 days are allowed to bring into Canada one bottle o

> In attempt to determine the factors that affect the amount of energy used, 200 households were analyzed. The number of occupants and the amount of electricity used were measured for each household. Produce a scatter diagram. What does the graph tell you

> Because inflation reduces the purchasing power of the dollar, investors seek investments that will provide higher returns when inflation is higher. It is frequently stated that common stocks provide just such a hedge against inflation. The annual percent

> a. Calculate the violent crime and property crime rates per 100,000 of population. b. Draw a line chart of the violent crime rate per 100,000 of population. c. Draw a line chart of the property crime rate per 100,000 of population. d. Describe your findi

> The number of customers entering a bank in the first hour of operation for each of the last 200 days was recorded. Draw a histogram and describe its shape.

> Refer to Exercise 6.11. a. What is the probability that a customer does not use a credit card? b. What is the probability that a customer pays in cash or with a credit card? c. Which method did you use in part (b)? Data from Exercise 6.11: Shoppers can p

> The distribution of the number of home runs in soft-ball games is shown here. a. Calculate the mean number of home runs. b. Find the standard deviation. Number of home runs 0 1 2 3 4 5 Probability .05 .16 41 .27 .07 .04

> How long does it take for someone to be deeply in debt? If it takes a long time we would expect AGE and DEBT to be related. Determine if they are by using a graphical technique. What have you learned?

> Are younger Americans more educated than older Americans? Answer the question by using a graphical technique to examine the relationship between AGE and EDUC. What does the graph tell you?

> It seems reasonable to believe that as one grows older one accumulates more money. To see if this is true use a graphical method to determine whether AGE and ASSETS are related. What did you discover?

> We expect that older respondents will have few, if any, children living in the household. Perform a statistical analysis to determine whether the age (AGE) of the respondent is linearly related to the number of children in the household (KIDS). Estimate

> After analyzing several months of sales data, the owner of an appliance store produced the following joint probability distribution of the number of refrigerators and stoves sold daily. a. Find the marginal probability distribution of the number of refr

> Investigate the relationship between total household income (INCOME) and total value of household assets (ASSET). Conduct a statistical analysis to measure how well the two variables correlate. Estimate the average marginal increase in assets for each ad

> The survey measured total household assets (ASSET) and total net worth of household (NETWORTH). Use a statistical technique to show that they should have just measured one of the two variables.

> Determine the quartiles of the household debt (DEBT) of the respondents in the 2013 survey. What information did you extract?

> Calculate the quartiles of household assets (ASSET). Interpret these statistics.

> Find the quartiles of the incomes (INCOME) of the respondents. What do they tell you about incomes of the heads of households?

> The following exercises are based on the 2013 Survey of Consumer Finances featuring the variables listed next. (The data are in folder SCF2013.) HHSEX (head of household): 1. Male; 2. Female EDCL: 1. No high school diploma; 2. High school diploma or GED;

> Find the mean and standard deviation of the household debt (DEBT) of the respondentsin the 2013 survey. If we assume that debt is not bell shaped describe what the mean and standard deviation tell you.

> Calculate the mean and standard deviation of household assets (ASSET). Assuming that this variable is positively skewed interpret the two statistics.

> Find the mean and standard deviation of the incomes (INCOME) of the heads of households. We know that the distribution of income is extremely positively skewed. Briefly describe what the two statistics tell you about the distribution of incomes.

> The distributions of X and of Y are described here. If X and Y are independent, determine the joint probability distribution of X and Y . 1 y 1 2 p(x) .2 .8 p(y) .2 .4 .4 3.

> Compute the mean and standard deviation of the ages (AGE) of the heads of households. Assuming that the distribution is bell shaped what do the mean and standard deviation tell you?

> Determine the mean and median of the amount of debt (DEBT) owed by the respondents. Briefly describe what the two statistics tell you.

> Calculate the mean and median of the respondent’s assets (ASSET). Is the mean greater than the median? If so, explain what that tells you about the distribution of assets.

> Find the mean and median of the incomes (INCOME) of the respondents. Briefly describe what the large difference between the two statistics tells you about the distribution of incomes of the respondents.

> Compute the mean and median of the ages (AGE) of the respondents in the 2013 survey. Interpret each statistic.

> How does age (AGE) affect respondents’ television viewing (TVHOURS)? Conduct a statistical analysis to determine whether the two variables are related and the average marginal increase in television viewing for each additional year of age.

> Repeat Exercise 4.146 for the respondents’ mothers education (MAEDUC). Data from Exercise 4.146: Is someone’s education (EDUC) affected by his or her father’s education (PAEDUC)? Use a statistical analysis to answer the following questions: a. How strong

> Is someone’s education (EDUC) affected by his or her father’s education (PAEDUC)? Use a statistical analysis to answer the following questions: a. How strong is the linear relationship between the two variables? b. What is the average marginal increase i

> Calculate the coefficient of correlation of the amount of education of the respondents and their spouses (EDUC and SPEDUC). What does this statistic tell you about the relationship between the two variables?

> Are there differences between the three categories of race with respect to working for the government or working in the private sector? Draw a graph to depict the differences.

> The following distributions of X and of Y have been developed. If X and Y are independent, determine the joint probability distribution of X and Y . 0 1 2 y 1 2 p(x) .6 3 .1 p(y) .7 3

> It seems reasonable to assume that more educated people will wait longer before having children. To determine whether this is reasonable draw a scatter diagram of years of education (EDUC) and the age at which a first child is born (AGEKDBRN). Describe y

> Do more educated people watch less television? Draw a scatter diagram of EDUC and TVHOURS. Describe what you have discovered.

> Use a graphical method to determine whether men and women differ with respect to working for themselves or someone else.

> Determine the quartiles of the amount of television watched (TVHOURS) by the respondents. Briefly describe what they tell you about this variable.

> Calculate the quartiles for the years of education (EDUC) completed by the respondents. What information do they provide?

> Find the quartiles of the respondents’ incomes (RINCOME). Describe what they tell you about incomes of the respondents.

> Do older people watch more television? Draw a scatter diagram of AGE and TVHOURS. What conclusion can you draw for the chart?

> If one half of a married couple works long hours, does the spouse work less? Draw a scatter diagram of HRS and SPHRS to answer the question.

> Refer to Exercise 3.73. Draw a scatter diagram of years of education (EDUC) and years of education of mothers (MAEDUC). What conclusion can you draw? Data from Exercise 3.73: Do more educated people have children who are also more educated? Answer this q

> Do more educated people have children who are also more educated? Answer this question by drawing a scatter diagram of the years of education (EDUC) and the years of education of his or her father (PAEDUC).

> The joint probability distribution of X and Y is shown in the following table. a. Determine the marginal distributions of X and Y . b. Compute the covariance and coefficient of correlation between X and Y . c. Develop the probability distribution of X +

> Do educated people tend to marry other educated people? Draw a scatter diagram of EDUC and SPEDUC. What conclusions can you draw from the graph?

> Use a pie chart to depict the proportion of respondents who worked for the government or worked in the private sector.

> Are there differences between men and women in terms of the completion of their highest degree? Use a graphical method to answer the question.

> Graphically describe the respondents’ highest completed degree.

> a. Determine the relative frequency distribution of marital status. b. Which graphical technique would you use to graphically describe marital status? c. Use your choice of graph.

> Graphically describe the racial makeup of the respondents.

> The population of the United States is approximately evenly divided between men and women. Draw a pie chart of the number of male and female respondents. Does it appear that the General Social Survey chose its respondents at random?

> Calculate the mean and standard deviation of the annual incomes (RINCOME). Assuming that the distribution of incomes is very skewed what information do the mean and standard deviation give you?

> Determine the mean and standard deviation of the amount of television watched (TVHOURS). If we assume that the distribution is bell shaped what do the two statistics tell you?

> Respondents were asked about the number of years of education (EDUC). Calculate the mean and standard deviation. Histograms of this variable reveal an approximate bell shape. What do the mean and standard deviation tell you?

> Refer to Exercise 7.49. a. Determine the distribution of X + Y . b. Determine the mean and variance of X + Y . c. Does your answer to part (b) equal the answer to Exercise 7.49? Data from Exercise 7.49: The bivariate distribution of X and Y is described

> Calculate the mean and standard deviation of the ages of the respondents. What do these statistics tell you?

> Calculate the mean and median of RINCOME. Is the mean greater than the median? If so, explain why.

> How much television were Americans watching in 2014? Answer the question by calculating the mean and median of TVHOURS. What have you learned?

> Calculate the mean and median of the years of education (EDUC). Briefly summarize what these statistics tell you about the years of education of Americans in 2014.

> Compute the mean and median of the ages (AGE) of the respondents. What information do these statistics give you?

> Do more educated (EDUC) Americans watch less television (TVHOURS)? a. To answer this question calculate a statistic that measures the strength of the linear relationship. b. Calculate the average marginal decrease in the hours of television viewing for e

> We would expect that people with more education would postpone having children. To examine the relationship between years of education (EDUC) and the age at which one’s first child is born (AGEKDBRN), perform a statistical analysis that answers the follo

> Use the Canada CPI Annual to calculate the inflation adjusted (using 2002 as the base) per capita debt from 1915 to 2015. Briefly describe your results.