Get solution
19.2
Get solution
19.3
Get solution
19.4
Get solution
19.5
Get solution
19.6
Get solution
19.7
Get solution
19.8
Get solution
19.9
Get solution
19.10
Get solution
19.11
Get solution
19.12 Two fuel additives are tested to determine their effect on miles per gallon for passenger cars. Test results for 12 cars follow; each car was tested with both fuel additives. Use α = .05 and the Wilcoxon signed rank test to see whether there is a significant difference in the additives....
Get solution
19.13
Get solution
19.14
Get solution
19.15 A test was conducted of two overnight mail delivery services. Two samples of identical deliveries were set up so that both delivery services were notified of the need for a delivery at the same time. The hours required to make each delivery follow. Do the data shown suggest a difference in the delivery times for the two services? Use a .05 level of significance for the test....
Get solution
19.16
Get solution
19.17
Get solution
19.18 Two fuel additives are being tested to determine their effect on gas mileage. Seven cars were tested with additive 1 and nine cars were tested with additive 2. The following data show the miles per gallon obtained with the two additives. Use α = .05 and the MWW rank sum test to see whether there is a significant difference in gasoline mileage for the two additives....
Get solution
19.19
Get solution
19.20
Get solution
19.21
Get solution
19.22
Get solution
19.23 The Police records show the following numbers of daily crime reports for a sample of days during the winter months and a sample of days during the summer months. Use a .05 level of significance to determine whether there is a significant difference between the winter and summer months in terms of the number of crime reports....
Get solution
19.24 The A certain brand of microwave oven was priced at 10 stores in Dallas and 13 stores in San Antonio. The data follow. Use a .05 level of significance and test whether prices for the microwave oven are the same in the two cities....
Get solution
19.25
Get solution
19.26
Get solution
19.27 The Three admission test preparation programs are being evaluated. The scores obtained by a sample of 20 people who used the test preparation programs provided the following data. Use the Kruskal-Wallis test to determine whether there is a significant difference among the three test preparation programs. Use α = .01....
Get solution
19.28 The Forty-minute workouts of one of the following activities three days a week will lead to a loss of weight. The following sample data show the number of calories burned during 40-minute workouts for three different activities. Do these data indicate differences in the amount of calories burned for the three activities? Use a .05 level of significance. What is your conclusion?...
Get solution
19.29 The Conde Nast Traveler magazine conducts an annual survey of its readers in order to rate the top 80 cruise ships in the world (Conde Nast Traveler, February 2006). With 100 the highest possible rating, the overall ratings for a sample of ships from the Holland America, Princess, and Royal Caribbean cruise lines are shown here. Use the Kruskal-Wallis test with α = .05 to determine whether the overall ratings among the three cruise lines differ significantly....
Get solution
19.30
Get solution
19.31 The The better-selling candies are high in calories. Assume that the following data show the calorie content from samples of M&Ms, Kit Kat, and Milky Way II. Test for significant differences in the calorie content of these three candies. At a .05 level of significance, what is your conclusion?...
Get solution
19.32 The Consider the following set of rankings for a sample of 10 elements....
a. Compute the Spearman rank correlation coefficient for the data.
b. Use α = .05 and test for significant rank correlation. What is your conclusion?
Get solution
19.33 The Consider the following two sets of rankings for six items....Note that in the first case the rankings are identical, whereas in the second case the rankings are exactly opposite. What value should you expect for the Spearman rank correlation coefficient for each of these cases? Explain. Calculate the rank correlation coefficient for each case.
Get solution
19.34
Get solution
19.35 The A national study by Harris Interactive, Inc., evaluated the top Internet companies and their reputations (The Wall Street Journal, November 18, 1999). The following two lists show how 10 Internet companies ranked in terms of reputation and percentage of respondents who said they would purchase the company’s stock. A positive rank correlation is anticipated because it seems reasonable to expect that a company with a higher reputation would be a more desirable purchase....
a. Compute the rank correlation between reputation and probable purchase.
b. Test for a significant positive rank correlation. What is the p-value?
c. At α = .05, what is your conclusion?
Get solution
19.36 The The rankings of a sample of professional golfers in both driving distance and putting follows. What is the rank correlation between driving distance and putting? Use a .10 level of significance....
Get solution
19.37 The A student organization surveyed both recent graduates and current students to obtain information on the quality of teaching at a particular university. An analysis of the responses provided the following teaching-ability rankings. Do the rankings given by the current students agree with the rankings given by the recent graduates? Use α = .10 and test for a significant rank correlation....
Get solution
19.38 The A survey asked the following question: Do you favor or oppose providing tax-funded vouchers or tax deductions to parents who send their children to private schools? Of the 2010 individuals surveyed, 905 favored the support, 1045 opposed the support, and 60 offered no opinion. Do the data indicate a significant difference in the preferences for the support for parents who send their children to private schools? Use a .05 level of significance.
Get solution
19.39
Get solution
19.40
Get solution
19.41 A study was designed to evaluate the weight-gain potential of a new poultry feed. A sample of 12 chickens was used in a six-week study. The weight of each chicken was recorded before and after the six-week test period. The differences between the before and after weights of the 12 chickens are 1.5, 1.2, −.2, .0, .5, .7, .8, 1.0, .0, .6, .2, −.01. A negative value indicates a weight loss during the test period, whereas .0 indicates no weight change over the period. Use a .05 level of significance to determine whether the new feed appears to provide a weight gain for the chickens.
Get solution
19.42 The following data are product weights for items produced on two production lines. Test for a difference between the product weights for the two lines. Use a = .10....
Get solution
19.43 A client wants to determine whether there is a significant difference in the time required to complete a program evaluation with the three different methods that are in common use. The times (in hours) required for each of 18 evaluators to conduct a program evaluation follow....Use α = .05 and test to see whether there is a significant difference in the time required by the three methods.
Get solution
19.44 A sample of 20 engineers employed with a company for three years has been rank-ordered with respect to managerial potential. Some of the engineers attended the company’s management-development course, others attended an off-site management-development program at a local university, and the remainder did not attend any program. Use the following rankings and a = .025 to test for a significant difference in the managerial potential of the three groups....
Get solution
19.45
Get solution
19.46 A sample of 15 students received the following rankings on midterm and final examinations in a statistics course....Compute the Spearman rank correlation coefficient for the data and test for a significant correlation. Use α = .10.
Get solution
