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Chapter: 6 -Problem: 18 >> If the random variable x is normally distributed, what percentage of all possible observed values of x will be a. Within one standard deviation of the mean? b. Within two standard deviations of the mean? c. Within three standard deviations of the mean?
Answer Preview: a. 68 …

, Chapter: 10 -Problem: 36 >> In its February 2, 1998, issue, Fortune magazine published the results of a Yankelovich Partners survey of 600 adults that investigated their ideas about marriage and divorce. (All respondents had incomes of $50,000 or more.). For each statement below, the proportions of men and women who agreed with the statement are given.Assuming that the survey results were obtained from independent random sam
Answer Preview: a. Hypothesis Testing: Let's define the null hypothesis (H0) as the population proportions of men an…

, Chapter: 17 -Problem: 35 >> Explain the purpose behind constructing(a) A cause-and-effect diagram.(b) A defect concentration diagram.
Answer Preview: a. To detect sources of process va…

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, Chapter: 14 -Problem: 52 >> We give MINITAB and Excel outputs of simple linear regression analyses of the data sets related to six previously discussed case studies. Using the appropriate computer output, a. Use the explained variation and the unexplained variation as given on the computer output to calculate (within rounding) the F(model) statistic. b. Utilize the F(model) statistic and the appropriate critical value to tes
Answer Preview: a. F = 19918 844 / (191 7017 / 9) = 935 149 b. F .05 = …

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, Chapter: 7 -Problem: 7 >> Suppose that we will randomly select a sample of four measurements from a larger population of measurements. The sampling distribution of the sample mean x? is the probability distribution of a population. In your own words, describe the elements in this population.
Answer Preview: In this context, the population refers to the entire set of measurements from which we are drawing o…

, Chapter: 2 -Problem: 79 >> Table 2.25 presents data concerning the largest U.S. charities as rated on the Forbes.com website on June 14, 2011.a. Construct a percent frequency histogram of each of (1) the charities’ private support figures,(2) the charities’ total revenues, (3) the charities’ fundraising efficiencies.b. Describe the shape of each histogram.
Answer Preview: We must establish the class intervals and frequencies for the provided data in order to create perce…

, Chapter: 2 -Problem: 54 >> Draw a scatter plot of y versus x in which y decreases in a linear fashion as x increases.
Answer Preview: Data are sca…

, Chapter: 2 -Problem: 55 >> Draw a scatter plot of y versus x in which there is little or no linear relationship between y and x.
Answer Preview: Data are scattered …

, Chapter: 9 -Problem: 57 >> Suppose that a spokesman for U.S. travel agencies claims that more than 65 percent of all U.S. passengers who booked cruises last year used travel agencies to book their cruises. In the October 2, 2011, issue of the Hamilton Journal News, an actual survey of U.S. passengers who booked cruises last year found that 68 percent of those sampled used travel agencies to book their cruises. Assuming that
Answer Preview: p-value = P(Z > 2 44) = 0 0073. Since 0 …

, Chapter: 15 -Problem: 37 >> If we fit the model y = ?0 + ?1x1+ ?2x2+ ?3x22 + ?4x1x2 + ? to the real estate sales price data in Table 15.4, we find that the least squares point estimates of the model parameters and their associated p-values (given in parentheses) are b0 = 27.438 (.001), b1 = 5.0813 (.001), b2 = 7.2899 (.001), b3 = -.5311 (.001), and b4 = .11473 (.014).a. A point prediction of and a 95 percent prediction in
Answer Preview: a. y-hat = 27 438 + 5 0813(20) + 7 2899(8…

, Chapter: 17 -Problem: 27 >> Describe two situations in your personal life in which you might wish to plot a control chart for fraction nonconforming.
Answer Preview: In personal life, there may be situations where we want to monitor and analyze the occurrence of non…

, Chapter: 2 -Problem: 32 >> What are the advantages of using a stem-and-leaf display?
Answer Preview: -- Displays all the …

, Chapter: 5 -Problem: 59 >> Consider Exercise 5.58, and find if the candy company’s claim is true. If x actually turns out to be 8, what do you think of the claim?Data from Exercise 5.58find if the stain removal product’s claim is correct. If x actually turns out to be 17, what do you think of the claim?
Answer Preview: P(x 8) = .…

, Chapter: 17 -Problem: 28 >> Explain why it can sometimes be difficult to obtain rational subgroups when using a control chart for fraction nonconforming.
Answer Preview: Because large su…

, Chapter: 6 -Problem: 21 >> Why do we compute z values when using the normal table? Explain.
Answer Preview: The normal table pro…

, Chapter: 1 -Problem: 8 >> Define a population. Give an example of a population.
Answer Preview: A population is …

, Chapter: 2 -Problem: 3 >> Find an example of a pie chart or bar chart in a newspaper or magazine. Copy it, and hand it in with a written analysis of the information conveyed by the chart.
Answer Preview: it is pie chart of showing the covid cases. There are 5…

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, Chapter: 16 -Problem: 31 >> The least squares point estimates of the parameters of the tentative hotel room average model are where the MINITAB calculated p-values for the importance of the model parameters are given in parentheses. The chi-square statistic p-values for the diagnostic checking of model adequacy are .242 (lag 12), .186 (lag 24), .276 (lag 36), and .461 (lag 48).(1) Assess the appropriateness of the tentative
Answer Preview: (1) Since the p-values of all the terms in the model are sta…

, Chapter: 2 -Problem: 5 >> Consider constructing a pie chart for the exam question responses in Exercise 2.4.(a) How many degrees (out of 360) would be assigned to the “pie slice” for the response (a)? (b) How many degrees would be assigned to the “pie slice” for response (b)? (c) Construct the pie chart for the exam question responses.Data from Exercise 2.4A multiple choice question on an exam has four possible responses—(
Answer Preview: a. (100 / 250) * 360 degrees …

, Chapter: 2 -Problem: 53 >> Draw a scatter plot of y versus x in which y increases in a linear fashion as x increases.
Answer Preview: Data are sca…

, Chapter: 15 -Problem: 13 >> Using the appropriate model, sample size n, and output: 1. Report SSE, s2, and s as shown on the output. Calculate s2 from SSE and other numbers. 2. Report the total variation, unexplained variation, and explained variation as shown on the output.3. Report R2 and R?2 as shown on the output. Interpret R2 and R?2. Show how  R?2 has been calculated from R2 and other numbers. 4. Calculate the F(model)
Answer Preview: (1) SSE = 1,798,712 2179 (2) total variation = 464,1…

, Chapter: 11 -Problem: 6 >> Suppose that n = 25 and s2 = 49. Assume normality.a. Compute a 98 percent confidence interval for ?2.b. Compute a 98 percent confidence interval for ?.c. Test the null hypothesis Ho: ?2 = 25 versus Ha: ?2 > 25 at the .05 level of significance.
Answer Preview: a. b. (SQRT(27 362), SQRT(108 23…

, Chapter: 11 -Problem: 2 >> Define the meaning of the chi-square points Transcribed Image Text: Xa/2 and Xi-(a/2).
Answer Preview: They are the points under the c…

, Chapter: 12 -Problem: 9 >> Perform pairwise comparisons of the treatment means in Exercise 12.8 by(1) Using Tukey simultaneous 95 percent confidence intervals(2) Optionally using t statistics and critical values (see the right side of Figure 12.6).  Which brands are most durable? Find and interpret a 95 percent confidence interval for each of the treatment means.Data from Exercise 12.8Explain the difference between the betw
Answer Preview: In order to perform pairwise comparisons of the treatment means in Exercise 12 8, we need to use Tukey simultaneous 95 percent confidence intervals as …

, Chapter: 15 -Problem: 15 >> Give an example of a practical application of the confidence interval for ?j.
Answer Preview: Practical Application: Marketing and Sales Analysis Imagine a company wants to analyze the relationship between their advertising spending and product …

, Chapter: 17 -Problem: 36 >> Explain how to construct(a) A cause-and-effect diagram.(b) A defect concentration diagram.
Answer Preview: (a) A cause-and-effect diagram, also known as an Ishikawa or fishbone diagram, is a visual tool used to identify and analyze the possible causes of a problem or an effect. It helps to organize and cat…

, Chapter: 17 -Problem: 1 >> Write an essay comparing the management philosophy that Dr. Deming advocated in his 14 points to the management styles you have been exposed to in your personal work experiences. Do you think Dr. Deming’s philosophy is preferable to the management styles you have seen in practice? Which of the 14 points do you agree with? Which do you disagree with?
Answer Preview: Essay : A Comparison of Dr. Deming's Management Philosophy and Personal Work Experiences Introduction : Management philosophies play a crucial role in shaping organizational culture, employee engagem…

, Chapter: 9 -Problem: 58 >> Assume that an insurance survey is based on 1,000 randomly selected U.S. households in a particular income class and finds that 640 of these households bought life insurance last year. a. If p denotes the proportion of all U.S. households in the income class that bought life insurance last year, set up the null and alternative hypotheses needed to attempt to justify the claim that more than 60 per
Answer Preview: a. b. Since 2 33 < 2 58 …

, Chapter: 11 -Problem: 12 >> Explain what population is described by the sampling distribution of s21/s22.
Answer Preview: The popu…

, Chapter: 16 -Problem: 41 >> Suppose that Table 16.21 gives the yearly automobile operating expenses in a particular region of the United States for the years 1990, 2000, and 2011.a. Using 1990 as the base year, construct the Laspeyres index for these operating expenses. Describe how the operating expenses have changed over time. b. Using 1990 as the base year, construct the Paasche index for the operating expenses.c. Another
Answer Preview: a. b. c. 2000 2011 Year Las…

, Chapter: 7 -Problem: 5 >> Recall that when the bank manager’s new teller system is operating consistently over time, the manager decides to record the waiting times of a sample of 100 customers that need teller service during peak business hours. For each of 100 peak business hours, the first customer that starts waiting for service at or after a randomly selected time during the hour will be chosen. Consider the peak busi
Answer Preview: To find the randomly selected time during the fourth peak business hour, we n…

, Chapter: 14 -Problem: 70 >> On January 28, 1986, the space shuttle Challenger exploded soon after takeoff, killing all eight astronauts aboard. The temperature at the Kennedy Space Center at liftoff was 31°F. Before the launch, several scientists argued that the launch should be delayed because the shuttle’s O-rings might harden in the cold and leak. Other scientists used the data plot in Figure 14.41 to argue that there was
Answer Preview: a. Using Figure 14 42, there does seem to be a negative …

, Chapter: 7 -Problem: 13 >> Find the mean of each sample in Exercise 7.12.Data from Exercise 7.12There are six combinations, or samples, of two grand prizes that can be randomly selected from the four grand prizes 20, 40, 60, and 80 thousand dollars. Four of these samples are (20, 40), (20, 60), (20, 80), and (40, 60). Find the other two samples.
Answer Preview: To find the other two samples, we need to consider all possible combinations of two grand prizes tha…

, Chapter: 10 -Problem: 20 >> During 2011 a company implemented a number of policies aimed at reducing the ages of its customers’ accounts. In order to assess the effectiveness of these measures, the company randomly selects 10 customer accounts. The average age of each account is determined for the years 2010 and 2011. These data are given in Table 10.4. Assuming that the population of paired differences between the average a
Answer Preview: a. b. t = 3 61 and - t 01 = -2 821 an…

, Chapter: 8 -Problem: 56 >> Although the department store chain in Example 8.12 has randomly selected 1 percent of the homes in each stratum, there is a more precise way to determine how to sample the strata. The first step is to determine the optimal fraction, fi, of the total sample size, n, that will be allocated to the ith stratum. This optimal fraction can be proven to give the shortest confidence intervals for a fixed
Answer Preview: n 1 = 0 4334 * 1320 = 572 …

, Chapter: 17 -Problem: 19 >> Consider the hot chocolate temperature situation in Exercise 17.9. We found that x? and R charts based on subgroups of size 3 for these data are in statistical control with x?? = 140.73 and R? = 4.75.a. Assuming that the hot chocolate temperatures are approximately normally distributed, calculate a range of values that contains almost all (approximately 99.73 percent) of the hot chocolate temperat
Answer Preview: a. b. Maximum = 149 15 degrees FMinimum = 132 31 d…

, Chapter: 9 -Problem: 43 >> We usually take action on the basis of having rejected the null hypothesis. When we do this, we know the chances that the action has been taken erroneously because we have prespecified a, the probability of rejecting a true null hypothesis. Here, it is obviously important to know (prespecify) a, the probability of a Type I error. When is it important to know the probability of a Type II error? Exp
Answer Preview: It is important to know the probability of a Type II error when we want to ensure that we are not …

, Chapter: 8 -Problem: 27 >> Why do we often need to take a preliminary sample when determining the size of the sample needed to make the margin of error of a confidence interval equal to E?
Answer Preview: Because is unkno…

, Chapter: 14 -Problem: 51 >> We give MINITAB and Excel outputs of simple linear regression analyses of the data sets related to six previously discussed case studies. Using the appropriate computer output, a. Use the explained variation and the unexplained variation as given on the computer output to calculate (within rounding) the F(model) statistic. b. Utilize the F(model) statistic and the appropriate critical value to tes
Answer Preview: a. F = 59 942 / (1 438 / 5) = 208 39 b. F .05 = 6 61 …

, Chapter: 17 -Problem: 25 >> Suppose that a product is assembled using 10 different components, each of which must meet specifications for five different quality characteristics. Therefore, we have 50 different specifications that potentially could be violated. Further suppose that each component possesses three sigma capability (process centered at target) for each quality characteristic. Then, if we assume normality and ind
Answer Preview: 3 sigma = …

, Chapter: 14 -Problem: 49 >> The F-test in simple linear regression is equivalent to what other test?
Answer Preview: The F-test in simple linear regression is equivalent to the t-test for the coefficient of the indepe…

, Chapter: 2 -Problem: 80 >> The price/earnings ratio of a firm is a multiplier applied to a firm’s earnings per share (EPS) to determine the value of the firm’s common stock. For instance, if a firm’s earnings per share is $5, and if its price/earnings ratio (or P/E ratio) is 10, then the market value of each share of common stock is ($5)(10) = $50. To quote Stanley B. Block and Geoffrey A. Hirt in their book Foundations of
Answer Preview: Based on the dot plot of P/E ratios for 30 fast-growing companies, we can make the following observa…

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, Chapter: 17 -Problem: 17 >> Explain how the natural tolerance limits compare to the specification limits when a. A process is capable of meeting specifications. b. A process is not capable of meeting specifications.
Answer Preview: a. Natural tolerance limits …

, Chapter: 11 -Problem: 23 >> Hoping to reduce the variability of the final exam scores in his business statistics classes, an instructor at Miami University in Oxford, Ohio, developed a new set of PowerPoint presentations to use in his classes. One business statistics section was taught using the instructor’s old notes and a second section was taught using the new PowerPoint presentations. The final exam scores earned by the
Answer Preview: so we fail to reject the null hypo…

, Chapter: 4 -Problem: 61 >> Find an estimate of the probability that a randomly selected female aged 16 to 24 is employed, if she is in the civilian labor force and has a bachelor’s degree or more.
Answer Preview: P{EMP | (CL…

, Chapter: 17 -Problem: 4 >> Form a group of three or four students in your class. As a group project, select a familiar process and determine a variable that measures the quality of some aspect of the output of this process. Then list some common causes and assignable causes that might result in variation of the variable you have selected for the process. Discuss your lists in class.
Answer Preview: Group Members: John Emily Sarah Michael Selected Process: Essay Writing Variable: Grammar Error Rate (measuring the number of grammar errors per page) …

, Chapter: 6 -Problem: 51 >> Give two examples of situations in which the exponential distribution might be used appropriately. In each case, define the random variable having an exponential distribution.
Answer Preview: The exponential distribution is a probability distribution commonly used to model the time between e…

, Chapter: 13 -Problem: 5 >> Explain two ways to obtain intervals for a goodness-of-fit test of normality.
Answer Preview: In statistical analysis, a goodness-of-fit test is used to assess whether a sample of data follows a specific theoretical distribution, such as the no…

, Chapter: 16 -Problem: 22 >> Figure 16.14 gives the MINITAB output of using simple exponential smoothing to forecast yearly U.S. lumber production. Here MINITAB has estimated the smoothing constant alpha to be .0361553. Use the MINITAB output to find and report the point prediction of and the 95 percent prediction interval for the total U.S. lumber production in a future year.Data from Figure 16.14
Answer Preview: y^ = Differencing is used to take …

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, Chapter: 16 -Problem: 13 >> What type of trend is indicated by the plot of the deseasonalized data?
Answer Preview: Posi…

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, Chapter: 17 -Problem: 10 >> A company packages a bulk product in bags with a 50-pound label weight. During a typical day’s operation of the fill process, 22 subgroups of five bag fills are observed. Using the observed data, x? and R? are calculated to be 52.9364 pounds and 1.6818 pounds, respectively. When the 22 x? ’s and 22 R’s are plotted with respect to the appropriate control limits, the first 6 subgroups are found to b
Answer Preview: a. b. Process is now in control. Center …

, Chapter: 11 -Problem: 5 >> Suppose that n = 20 and s2 = 25Assume normality.a. Compute a 99 percent confidence interval for ?2b. Test the null hypothesis Ho: ?2 = 35 Ha : ?2 ? 35 at the .01 level of significance.
Answer Preview: a. b. (n-1) s (n-…

, Chapter: 15 -Problem: 46 >> Recall that Figure14.26 (a) gives n = 16 weekly values of Pages Bookstore sales (y), Pages advertising expenditure (x1), and competitor’s advertising expenditure (x2). When we fit the model y = ?0 + ?1x1 + ?2x2 + ? to the data, we find that the Durbin–Watson statistic is d = 1.63?. Use the partial Durbin–Watson table on the page margin to test for positive autocorrelation by setting ? equal to .05
Answer Preview: Since d=1 63 > …

, Chapter: 17 -Problem: 21 >> A grocer has a contract with a produce wholesaler that specifies that the wholesaler will supply the grocer with grapefruit that weigh at least .75 pounds each. In order to monitor the grapefruit weights, the grocer randomly selects three grapefruit from each of 25 different crates of grapefruit received from the wholesaler. Each grapefruit’s weight is determined and, therefore, 25 subgroups of th
Answer Preview: a. b. 1 0416 pounds c. No, gra…

, Chapter: 11 -Problem: 17 >> The stopping distances of a random sample of n1 = 16 Fire-Hawk compact cars have a mean of x?1 = 57.2 feet and a standard deviation of s1 = 4.81 feet. The stopping distances of a random sample of n2 = 16 Lance compact cars have a mean of x?2 = 62.7 feet and a standard deviation of s2 = 7.56 feet. Here, each stopping distance is measured from a speed of 35 mph. If ?21 and ?22 denote the correspondi
Answer Preview: So reject the nul…

, Chapter: 17 -Problem: 9 >> Since 1994 a number of consumers have filed and won large claims against national fast-food chains as a result of being scalded by excessively hot beverages such as coffee, tea, and hot chocolate. Because of such litigation, the food service staff at a university dining hall wishes to study the temperature of the hot chocolate dispensed by its hot chocolate machine. The dining hall staff believes
Answer Preview: a. b. The R chart is in control since all the points are inside the control limits c. …

, Chapter: 4 -Problem: 60 >> Find an estimate of the probability that a randomly selected female aged 16 to 24 is employed, if she is in the civilian labor force and has a high school degree.
Answer Preview: To find an estimate of the probability, we need to gather data on the employment status of females a…

, Chapter: 4 -Problem: 16 >> Give an example of a conditional probability that would be of interest to you?
Answer Preview: One example of a conditional probability that might be of interest is the probability of a person ha…

, Chapter: 11 -Problem: 20 >> A company is studying the productivity of a machine that produces an automobile part. The times (in seconds) needed to produce 100 parts for each of eight test production runs were: 40.77, 36.38, 36.82, 52.94, 48.33, 28.31, 60.56, and 28.92. Use these data to compute a 95 percent confidence interval for the standard deviation of all times needed to produce 100 such automobile parts using the machi
Answer Preview: Taking the square root of each number …

, Chapter: 3 -Problem: 43 >> Sound City sells the True Sound-XL, a top-of-the-line satellite car radio. Over the last 100 weeks, Sound City has sold no radios in three of the weeks, one radio in 20 of the weeks, two radios in 50 of the weeks, three radios in 20 of the weeks, four radios in 5 of the weeks, and five radios in 2 of the weeks. The following table summarizes this information. Compute a weighted mean that measures
Answer Preview: = 3(0)+20(1) +50(2) +20(3)+5(4) + 2(5) 100 …

, Chapter: 19 -Problem: 37 >> In an exercise in the book Production/Operations Management, 5th ed. (1996),William ThmPark J. Stevenson considers a theme park whose lease is about to expire. The theme park’s management wishes to decide whether to renew its lease for another 10 years or relocate near the site of a new motel complex. The town planning board is debating whether to approve the motel complex. A consultant estimates
Answer Preview: a. Maximax: Relocate, high…

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, Chapter: 11 -Problem: 4 >> Suppose that n = 10 and s2 = 9. Assume normality. a. Compute a 95 percent confidence interval for ?2.b. Test the null hypothesis H0: ?2 = 15 versus Ha: ?2 < 15 at the .05 level of significance.
Answer Preview: a. b. So we fail to rej…

, Chapter: 6 -Problem: 20 >> Explain how x relates to the mean m if the z value corresponding to x a. Equals zero. b. Is positive. c. Is negative.
Answer Preview: a. x equals th…

, Chapter: 11 -Problem: 3 >> a. If df = 8, find the chi-square points b. If df = 16, find the chi-square points Transcribed Image Text: X025, X01, and Xoos
Answer Preview: a. b. For df …

, Chapter: 6 -Problem: 37 >> Suppose that a population of measurements is normally distributed with mean ? and standard deviation ?. a. Write an expression (involving ? and ?) for a tolerance interval containing 98 percent of all the population measurements.b. Estimate a tolerance interval containing 98 percent of all the trash bag breaking strengths by using the fact that a random sample of 40 breaking strengths has a mean o
Answer Preview: a. b. [50 5…

, Chapter: 18 -Problem: 30 >> Use the following MINITAB output to find rs, and then test H0: px = 0 versus Ha: ps > 0 or the service time data below. Transcribed Image Text: Copiers Serviced, x Minutes Required, y 4 109 2 5 7 1 3 58 138 189 37 82 Pearson correlation of CRank and MRank = 0.986 4 103 5 134 2 4 6 68 112 154
Answer Preview: r s = .986, Reje…

, Chapter: 2 -Problem: 63 >> Find an example of a misleading use of statistics in a newspaper, magazine, corporate annual report, or other source. Then explain why your example is misleading.
Answer Preview: One example of a misleading use of statistics can be found in a marketing campaign by a weight loss …

, Chapter: 3 -Problem: 52 >> The following table gives the value of the Dow Jones Industrial Average (DJIA), NASDAQ, and the S&P 500 on the first day of trading for the years 2008 through 2010. a. For each stock index, compute the rate of return from 2008 to 2009 and from 2009 to 2010.b. Calculate the geometric rate of return for each stock index for the period from 2008 to 2010.c. Suppose that an investment of $100,000 is ma
Answer Preview: a. b. c. d. DJIA 2008 - …

, Chapter: 16 -Problem: 20 >> Consider Table 16.13. Verify (calculate) that S3, an estimate made in period 3 of ?0, is 359.276. Also verify (calculate) that the one-period-ahead forecast error for period 4 is -62.276, as shown in Table 16.13.Data from Table 16.13 Transcribed Image Text: FIGURE 16.13 MINITAB Output of Using Simpl
Answer Preview: S 3 = .02(317) + (1 .0…

, Chapter: 11 -Problem: 24 >> In Exercise 10.11, we used the unequal variances procedure to compare population means. The sample standard deviations involved in the comparison were s1 = 68 and s2 = 22. Each sample size was 10. a. Assuming normality, test to see if the corresponding population standard deviations differ by setting equal to .05. b. Was it reasonable to use the unequal variances procedure to compare population me
Answer Preview: a. So we reject the null hypothesis and conc…

, Chapter: 15 -Problem: 57 >> Backward elimination is an iterative model selection procedure that begins by considering the model that contains all of the potential independent variables and then attempts to remove independent variables one at a time from this model. On each step, an independent variable is removed from the model if it has the largest p-value of any independent variable remaining in the model and if its p-valu
Answer Preview: Backwards elimination …

, Chapter: 7 -Problem: 12 >> There are six combinations, or samples, of two grand prizes that can be randomly selected from the four grand prizes 20, 40, 60, and 80 thousand dollars. Four of these samples are (20, 40), (20, 60), (20, 80), and (40, 60). Find the other two samples.
Answer Preview: To find the other two samples of two grand prizes, we can list all th…

, Chapter: 12 -Problem: 3 >> Explain the difference between the between-treatment variability and the within-treatment variability when performing a one-way ANOVA.
Answer Preview: SST = variability …

, Chapter: 15 -Problem: 11 >> Using the appropriate model, sample size n, and output: 1. Report SSE, s2, and s as shown on the output. Calculate s2 from SSE and other numbers. 2. Report the total variation, unexplained variation, and explained variation as shown on the output.3. Report R2 and R?2 as shown on the output. Interpret R2 and R?2. Show how  R?2 has been calculated from R2 and other numbers. 4. Calculate the F(model)
Answer Preview: (1) (2) Total variation = 7447 5 Unexplained variation = 73 6 Explained …

, Chapter: 9 -Problem: 44 >> Explain why we are able to compute many different values of ?, the probability of a Type II error, for a single hypothesis test.
Answer Preview: The probability …

, Chapter: 15 -Problem: 10 >> Using the appropriate model, sample size n, and output: 1. Report SSE, s2, and s as shown on the output. Calculate s2 from SSE and other numbers. 2. Report the total variation, unexplained variation, and explained variation as shown on the output.3. Report R2 and R?2 as shown on the output. Interpret R2 and R?2. Show how  R?2 has been calculated from R2 and other numbers. 4. Calculate the F(model)
Answer Preview: (1) (2) Total variation = 25 549 Unexplained variation = 0 674 Explained …

, Chapter: 8 -Problem: 55 >> The accounts of an investment firm have been classified into 143 large accounts, 4,780 medium sized accounts, and 20,973 small accounts. The investment firm provides an auditor with each account’s book value. This is the amount of money that the firm claims is in the account. The auditor determines an account’s audit value by contacting the owner of the account. This is the amount of money that is
Answer Preview: a. Margin of error calculation 95% confidence interval =7,720,466 6…

, Chapter: 17 -Problem: 3 >> Describe several common causes and several assignable causes that might result in variation of the given quality characteristic. a. Process: getting ready for school or work in the morning. Quality characteristic: the time it takes to get ready. b. Process: driving, walking, or otherwise commuting from your home or apartment to school or work. Quality characteristic: the time it takes to commute.
Answer Preview: A. Common reasons of version in the time it takes to get geared up for school or work within the mor…

, Chapter: 16 -Problem: 32 >> Find a point forecast and a 95 percent prediction interval for y169.
Answer Preview: Point estimate for y* 169 is 5 38091 …

, Chapter: 15 -Problem: 12 >> Using the appropriate model, sample size n, and output: 1. Report SSE, s2, and s as shown on the output. Calculate s2 from SSE and other numbers. 2. Report the total variation, unexplained variation, and explained variation as shown on the output.3. Report R2 and R?2 as shown on the output. Interpret R2 and R?2. Show how  R?2 has been calculated from R2 and other numbers. 4. Calculate the F(model)
Answer Preview: (1) (2) Total variation = 13 4586 Unexplained variation = 1 4318 Explaine…

, Chapter: 14 -Problem: 46 >> Consider testing H0: ?1 = 0 versus Ha: ?1 ? 0. Figure 14.11 tells us that t = 14.44 and that the related p-value is less than .001. Assuming that the bivariate normal probability distribution assumption holds, test H0: p = 0 versus Ha: p ? 0 by setting a equal to .05, .01, and .001. What do you conclude about how x and y are related?
Answer Preview: In this context, you are considering the p-value from a simple linear regression analysis that tests …

, Chapter: 18 -Problem: 13 >> Moore (2000) reports on a study by Boo (1997), who asked 303 randomly selected people at fairs: How often do you think people become sick because of food they consume prepared at outdoor fairs and festivals? The possible responses were 5 (always), 4 (often), 3 (more often than not), 2 (once in a while), and 1 (very rarely). The following data were obtained:
Answer Preview: Men and women do differ in th…

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10 Reviews for Business Statistics In Practice Textbook Questions And Answers