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Question: In Exercise 36, you calculated probabilities


In Exercise 36, you calculated probabilities involving various blood types.
a) If you examine one donor, are the events of the donor being Type A and the donor being Type B disjoint or independent or neither? Explain your answer.
b) If you examine two donors, are the events that the first donor is Type A and the second donor is Type B disjoint or independent or neither?
c) Can disjoint events ever be independent? Explain.


> Consider the IQ model N(100, 16) one last time. a) What IQ represents the 15th percentile? b) What IQ represents the 98th percentile? c) What’s the IQR of the IQs?

> Consider the Normal model N(0.062, 0.018) for returns of mutual funds in Exercise 23 one last time. a) What value represents the 40th percentile of these returns? b) What value represents the 99th percentile? c) What’s the IQR of the quarterly returns

> In the Normal model N(100, 16) for IQ scores from Exercise 24, what cutoff value bounds the a) highest 5% of all IQs? b) lowest 30% of the IQs? c) middle 80% of the IQs? d) lowest 90% of all IQs?

> Based on the model N(0.062, 0.018) for quarterly returns from Exercise 23, what are the cutoff values for the a) highest 10% of these funds? b) lowest 20%? c) middle 40%? d) highest 80%?

> Your company bids for two contracts. You believe the probability that you get contract #1 is 0.8. If you get contract #1, the probability that you also get contract #2 will be 0.2, and if you do not get contract #1, the probability that you get contract

> Based on the Normal model N (100, 16) describing IQ scores from Exercise 24, what percent of applicants would you expect to have scores a) over 80? b) under 90? c) between 112 and 132? d) over 125?

> According to the Normal model N(0.062, 0.018) describing mutual fund returns in the 1st quarter of 2013 in Exercise 23, what percent of this group of funds would you expect to have return a) over 6.8%? b) between 0% and 7.6%? c) more than 1%? d) less

> For Exercises 23–30, use the 68–95–99.7 Rule to approximate the probabilities rather than using technology to find the values more precisely. Answers given for probabilities or percentages from Exercise 31 on assume that a calculator or software has been

> For Exercises 23–30, use the 68–95–99.7 Rule to approximate the probabilities rather than using technology to find the values more precisely. Answers given for probabilities or percentages from Exercise 31 on assume that a calculator or software has been

> For Exercises 23–30, use the 68–95–99.7 Rule to approximate the probabilities rather than using technology to find the values more precisely. Answers given for probabilities or percentages from Exercise 31 on assume that a calculator or software has been

> For Exercises 23–30, use the 68–95–99.7 Rule to approximate the probabilities rather than using technology to find the values more precisely. Answers given for probabilities or percentages from Exercise 31 on assume that a calculator or software has been

> For Exercises 23–30, use the 68–95–99.7 Rule to approximate the probabilities rather than using technology to find the values more precisely. Answers given for probabilities or percentages from Exercise 31 on assume that a calculator or software has been

> For Exercises 23–30, use the 68–95–99.7 Rule to approximate the probabilities rather than using technology to find the values more precisely. Answers given for probabilities or percentages from Exercise 31 on assume that a calculator or software has been

> For Exercises 23–30, use the 68–95–99.7 Rule to approximate the probabilities rather than using technology to find the values more precisely. Answers given for probabilities or percentages from Exercise 31 on assume that a calculator or software has been

> For Exercises 23–30, use the 68–95–99.7 Rule to approximate the probabilities rather than using technology to find the values more precisely. Answers given for probabilities or percentages from Exercise 31 on assume that a calculator or software has been

> A sporting goods manufacturer was asked to sponsor a local boy in two fishing tournaments. They claim the probability that he will win the first tournament is 0.4. If he wins the first tournament, they estimate the probability that he will also win the s

> Recently, the International Gaming Technology company issued the following press release: (LAS VEGAS, Nev.)—Cynthia Jay was smiling ear to ear as she walked into the news conference at the Desert Inn Resort in Las Vegas today, and well she should. Last n

> Insurance companies collect annual payments from homeowners in exchange for paying to rebuild houses that burn down. a) Why should you be reluctant to accept a $3000 payment from your neighbor to replace his house should it burn down during the coming y

> A sample of 1800 homes in different neighborhood of Washington, DC, in 2017 produced the data in the table for the number of bedrooms and house price. Is the price of the house independent of whether it has 3 or more bedrooms? Property Values In the

> The following table shows a sample of property listings and values from one neighborhood (one ZIP code) in the Washington, DC, area in September 2017: a) In this sample, what proportion of homes is valued at $500K or less? b) Are the number of bedrooms

> Professional polling organizations face the challenge of selecting a representative sample of U.S. adults by telephone. This has been complicated by people who only use cell phones and by others whose landline phones are unlisted. A careful survey by Dem

> In the real estate research described in Exercise 33, 64% of homes for sale have garages, 21% have swimming pools, and 17% have both features. a) What is the probability that a home for sale has a garage, but not a pool? b) If a home for sale has a gar

> Look again at the data in the electronic communications in Exercise 54. a) If we select a respondent at random, what’s the probability that we choose a person earning less than $50 K and responded “somewhat”? b) Among those earning $50–99.9K, what is t

> Look again at the data from the coffeehouse survey in Exercise 53. a) If we select a person at random, what’s the probability we choose a person between 18 and 24 years old who is spending more time at coffeehouses? b) Among the 18- to 24-year olds, wh

> Given the table of probabilities compiled for a department store chain in Exercise 58, are age and shopping at the department store independent? Explain.

> Given the table of probabilities compiled for marketing managers in Exercise 57, are high blood pressure and high cholesterol independent? Explain.

> A consumer organization inspecting new cars found that many had appearance defects (dents, scratches, paint chips, etc.). While none had more than three of these defects, 7% had three, 11% had two, and 21% had one defect. a) Find the expected number of a

> A European department store is developing a new advertising campaign for their new U.S. location, and their marketing managers need to understand their target market better. A survey of adult shoppers found the probabilities that an adult would shop at t

> A U.S. pharmaceutical company is considering manufacturing and marketing a pill that will help to lower both an individual’s blood pressure and cholesterol. The company is interested in understanding the demand for such a product. The j

> Twenty percent of cars that are inspected have faulty pollution control systems. The cost of repairing a pollution control system exceeds $100 about 40% of the time. When a driver takes her car in for inspection, what’s the probability that she will end

> Exercises 36 and 38 discussed the challenges faced by the Red Cross in finding enough blood of various types. But blood typing also depends on the Rh factor, which can be negative or positive. Here is a table of the estimated proportions worldwide for bl

> A Mintel study asked consumers if electronic communications devices influenced whether or not they bought a certain car. The table below gives the results classified by household income: If we select a person at random from this sample: a) What is the pr

> A Mintel report on coffeehouses asked consumers if they were spending more time in coffeehouses. The table below gives the responses classified by age: a) What is the probability that a randomly selected respondent is spending more time at coffeehouses a

> Of the 2201 people on the RMS Titanic, only 711 survived. The practice of “women and children first” was first used to describe the chivalrous actions of the sailors during the sinking of the HMS Birkenhead in 1852, bu

> A Pew Research report on September 13, 2017, reported that 61% of 18–29 year olds watch TV using online streaming services. (By contrast, only 5% of those 65 and older watch online.) The table below shows the proportions within each age group using vario

> A company that manufactures and sells consumer video cameras sells two versions of their popular hard disk camera, a basic camera for $750, and a deluxe version for $1250. About 75% of customers select the basic camera. Of those, 60% purchase the extende

> As manager for a construction firm, you are in charge of bidding on two large contracts. You believe the probability you get contract #1 is 0.8. If you get contract #1, the probability you also get contract #2 will be 0.2, and if you do not get #1, the p

> A commuter must pass through five traffic lights on her way to work and will have to stop at each one that is red. After keeping a record for several months, she developed the following probability model for the number of red lights she hits: a) How ma

> Exercise 47 shows the results of a poll that asked about gun ownership. Suppose we select three adults at random from this sample. a) What is the probability that all three respond “Yes”? b) What is the probability t

> The General Social Survey, run annually, asked respondents “Do you have in your home (or garage) any guns or revolvers?” The responses are given in the table (sda.berkeley.edu/cgi-bin/hsda?harcsda+gss10). a) If we se

> More economic conditions 2017. Exercise 45 shows the results of a Gallup Poll about U.S. economic conditions. Suppose we select three adults at random from this sample. a) What is the probability that all three responded “Poor”? b) What is the probabilit

> A Gallup Poll in September 2017 asked U.S. adults to rate economic conditions in the country today as “excellent,” “good,” “only fair,” or â

> A shipment of road bikes has just arrived at The Spoke, a small bicycle shop, and all the boxes have been placed in the back room. The owner asks her assistant to start bringing in the boxes. The assistant sees 20 identical-looking boxes and starts bring

> In addition to slot machines, casinos must understand the probabilities involved in card games. Suppose you are playing at the blackjack table, and the dealer shuff les a deck of cards. The first card shown is red. So is the second and the third. In fact

> The technical support desk at a college has set up a special service for tablets. A survey shows that 54% of tablets on campus run Apple’s iOS, 43% run Google’s Android OS, and 3% run Microsoft’s Windows. Assuming that users of each of the operating syst

> A company has recently replaced their e-mail spam filter because investigations had found that the volume of spam e-mail was interrupting productive work on about 15% of workdays. To see how bad the situation was, calculate the probability that during a

> Because gambling is big business, calculating the odds of a gambler winning or losing in every game is crucial to the financial forecasting for a casino. A standard slot machine has three wheels that spin independently. Each has 10 equally likely symbols

> A recent study of IRS audits showed that, for estates worth less than $5 million, about 1 out of 7 of all estate tax returns are audited, but that probability increases to 50% for estates worth over $5 million. Suppose a tax accountant has three clients

> A small software company will bid on a major contract. It anticipates a profit of $50,000 if it gets it, but thinks there is only a 30% chance of that happening. a) What’s the expected profit? b) Find the standard deviation for the profit.

> In Exercise 35, you calculated probabilities of getting various colors of M&M’s. a) If you draw one M&M, are the events of getting a red one and getting an orange one disjoint or independent or neither? b) If you draw two M&M’s one after the other, are

> The American Red Cross must track their supply and demand for various blood types. They estimate that about 45% of the U.S. population has Type O blood, 40% Type A, 11% Type B, and the rest Type AB. a) If someone volunteers to give blood, what is the pr

> The Mars company says that before the introduction of purple, yellow made up 20% of their plain M&M candies, red made up another 20%, and orange, blue, and green each made up 10%. The rest were brown. a) If you picked an M&M at random from a pre-purple

> Employment data at a large company reveal that 72% of the workers are married, 44% are college graduates, and half of the college grads are married. What’s the probability that a randomly chosen worker is: a) Neither married nor a college graduate? b)

> In a sample of real estate ads, 64% of homes for sale had garages, 21% have swimming pools, and 17% have both features. What is the probability that a home for sale has: a) A pool, a garage, or both? b) Neither a pool nor a garage? c) A pool but no ga

> Final consulting team project. You used the Multiplication Rule to calculate probabilities about the telecommunications experience of your consulting teammates in Exercise 30. a) What must be true about the groups in order to make that approach valid? b)

> You used the Multiplication Rule to calculate repair probabilities for your cars in Exercise 29. a) What must be true about your cars in order to make that approach valid? b) Do you think this assumption is reasonable? Explain.

> You are assigned to be part of a team of three analysts of a global management consulting company as described in Exercise 28. What is the probability that of your other two teammates: a) Neither has any telecommunications experience? b) Both have some t

> Consider again the auto repair rates described in Exercise 27. If you bought two new cars, what is the probability that: a) Neither will need repair? b) Both will need repair? c) At least one car will need repair? Exercise 27: In developing their warran

> The probability model below describes the number of repair calls that an appliance repair shop may receive during an hour. a) How many calls should the shop expect per hour? b) What is the standard deviation? Repair Calls 1 3 Probability 0.1 0.3 0.

> You work for a large global management consulting company. Of the entire work force of analysts, 55% have had no experience in the telecommunications industry, 32% have had limited experience (less than 5 years), and the rest have had extensive experienc

> In developing their warranty policy, an automobile company estimates that over a 1-year period 17% of their new cars will need to be repaired once, 7% will need repairs twice, and 4% will require three or more repairs. If you buy a new car from them, wha

> For a sales promotion, the manufacturer places winning symbols under the caps of 10% of all Pepsi bottles. If you buy a six-pack of Pepsi, what is the probability that you win something?

> A tire manufacturer recently announced a recall because 2% of its tires are defective. If you just bought a new set of four tires from this manufacturer, what is the probability that at least one of your new tires is defective?

> Many stores run “secret sales”: Shoppers receive cards that determine how large a discount they get, but the percentage is revealed by scratching off that black stuff (what is that?) only after the purchase has been to

> A toy company is preparing to market an electronic game for young children that “randomly” generates a color. They suspect, however, that the way the random color is determined may not be reliable, so they ask the prog

> Here are engine size (displacement, in liters) and gas mileage (estimated combined city and highway) for a random sample of 35 2016 model cars (taken from Fuel Economy 2016 and identified in the data with Sample = “Yes”). a) Make a scatterplot for these

> Since 1985, average mortgage interest rates have f luctuated from a low of nearly 3% to a high of over 14%. Is there a relationship between the amount of money people borrow and the interest rate that’s offered? Here is a scatterplot of

> The Office of Federal Housing Enterprise Oversight (www.fhfa.gov) collects data on various aspects of housing costs around the United States. Here is a scatterplot of the Housing Cost Index versus the Median Family Income for each of the 50 states. The c

> Concern over the weather associated with El Niño has increased interest in the possibility that the climate on Earth is getting warmer. The most common theory relates an increase in atmospheric levels of carbon dioxide (CO2), a greenhouse

> Suppose occurrences of sales on a small company’s website are well modeled by a Poisson model with l = 5>hour. a) If a sale just occurred, what is the expected waiting time until the next sale? b) What is the probability that the next sale will happen

> Numbeo.com collects data from users in cities around the world on prices of a basket of goods and services and uses these data to determine a cost of living index. This index scales New York City as 100 and expresses the cost of living in other cities as

> Use the advertised prices for BMW 8’s given in Exercise 63 to create a linear model for the relationship between a car’s Model Year and its Price. a) Find the equation of the regression line. b) Explain the meaning of the slope of the line. c) Explain th

> A business student needs cash, so he decides to sell his car. The car is a classic BMW “8 series” that was only made over the course of a few years in the 1990s. He would like to sell it on his own, rather than through a dealer so he’d like to predict th

> A popular magazine annually publishes rankings of both U.S. business programs and international business programs. The latest issue claims to have developed a linear model predicting the school’s ranking (with “1” being the highest ranked school) from it

> An analyst at a business school’s admissions office claims to have developed a valid linear model predicting success (measured by starting salary ($) at time of graduation) from a student’s undergraduate performance (measured by GPA). Describe how you wo

> An economist investigated the association between a country’s Literacy Rate and Gross Domestic Product (GDP) and used the association to draw the following conclusions. Explain why each statement is incorrect. (Assume that all the calculations were done

> An advertising agent who created a regression model using amount spent on Advertising to predict annual Sales for a company made these two statements. Assuming the calculations were done correctly, explain what is wrong with each interpretation. a) My R2

> If you create a regression model for estimating a student’s business school GPA (on a scale of 1–5) based on his math SAT (on a scale of 200–800), is the slope most likely to be closer to 0.01, 1, or 10? Explain.

> If you create a regression model for predicting the sales ($ million) from money spent on advertising the prior month ($ thousand), is the slope most likely to be closer to 0.03, 300, or 3000? Explain.

> An actuary at a mid-sized insurance company is examining the sales performance of the company’s sales force. She has data on the average size of the policy ($) written in two consecutive years by 200 salespeople. She fits a linear model and finds the slo

> Lifetimes of electronic components can often be modeled by an exponential model. Suppose quality control engineers want to model the lifetime of a hard drive to have a mean lifetime of 3 years. a) What value of l should they use? b) With this model, wh

> An analyst at a large credit card bank is looking at the relationship between customers’ charges to the bank’s card in two successive months. He selects 150 customers at random, regresses charges in March ($) on charges in February ($), and finds an R2 o

> Tell what each of the following residual plots indicates about the appropriateness of the linear model that was fit to the data. a) b) c)

> Tell what each of the following residual plots indicates about the appropriateness of the linear model that was fit to the data. a) b) c)

> An online clothing retailer examined their transactional database to see if total yearly Purchases ($) were related to customers’ Incomes ($). (You may assume that the assumptions and conditions for regression are met.) The least square

> As the nature of investing shifted in the 1990s (more day traders and faster f low of information using technology), the relationship between mutual fund monthly performance (Return) in percent and money f lowing (Flow) into mutual funds ($ million) shif

> Perhaps fans are just more interested in teams that win. The displays below are based on American League teams for the 2016 season. (Data in Attendance 2016) a) Do winning teams generally enjoy greater attendance at their home games? Describe the assoc

> American League baseball games are played under the designated hitter rule, meaning that pitchers, often weak hitters, do not come to bat. Baseball owners believe that the designated hitter rule means more runs scored, which in turn means higher attendan

> From the linear model fit to the data on GDP growth of Exercise 46: a) Write the equation of the regression line. b) What is the meaning of the intercept? Does it make sense in this context? c) Interpret the meaning of the slope. d) In a year in whic

> From the linear model fit to the data on GDP growth in Exercise 45: a) Write the equation of the regression line. b) What is the meaning of the intercept? Does it make sense in this context? c) Interpret the meaning of the slope. d) In a year in which

> Is economic growth in Europe related to growth in the United States? Here’s a scatterplot of the average growth in the 19 European countries (% of Gross Domestic Product) vs. the growth in the United States. Each point represents one of

> The U.S. Fish and Wildlife Service plans to study the fishing industry around Saginaw Bay. To do that, they decide to randomly select five fishing boats at the end of a randomly chosen fishing day and count the numbers and types of all the fish on those

> For the following experiment, identify the experimental units, the treatments, the response, and the random assignment. An investment club decided to compare investment strategies. Starting with nine equal investment amounts, three invested in the “dogs

> Is economic growth in the developing world related to growth in the industrialized countries? Here’s a scatterplot of the growth (in % of Gross Domestic Product) of the least developed countries (as classified by the UN) vs. the growth

> An economics student is studying the American economy and finds that the correlation between the inflation-adjusted Dow Jones Industrial Average and the Gross Domestic Product (GDP) (also inflation adjusted) is 0.85 for the years 1961 to 2016. (www.measu

> Is the number of total rooms in the house associated with the price of a house? Here is the scatterplot of a random sample of homes for sale: a) Is there an association? b) Check the assumptions and conditions for correlation. Homes for Sale 6 4+ 1

> In 2008, the EPA revised their methods for estimating the fuel efficiency (mpg) of cars—a factor that plays an increasingly important role in car sales. How do the new highway and city estimated mpg values relate to each other? Here&aci

> The environmental advocacy group from Exercise 5 that was interested in gauging perceptions about climate change among organic farmers has decided to use a different method to sample. Instead of randomly selecting members from a shuffled list, they liste

> For their class project, a group of Business students decides to survey the student body to assess opinions about a proposed new student coffee shop to judge how successful it might be. Their sample of 200 contained 50 first-year students, 50 sophomores,

> As discussed in the chapter, GfK Roper Consulting conducts a global consumer survey to help multinational companies understand different consumer attitudes throughout the world. In India, the researchers interviewed 1000 people aged 13–65 (www.gfkamerica

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See Answer