Essentials Of Statistics For Business & Economics
Essentials Of Statistics For Business & Economics
9th Edition
ISBN: 9780357045435
Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran
Publisher: South-Western College Pub
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Chapter 13, Problem 40SE

Fuel Efficiency of Gasoline Brands. A research firm tests the miles-per-gallon characteristics of three brands of gasoline. Because of different gasoline performance characteristics in different brands of automobiles, five brands of automobiles are selected and treated as blocks in the experiment: that is, each brand of automobile is tested with each type of gasoline. The results of the experiment (in miles per gallon) follow.

Chapter 13, Problem 40SE, Fuel Efficiency of Gasoline Brands. A research firm tests the miles-per-gallon characteristics of

  1. a. At α = .05, is there a significant difference in the mean miles-per-gallon characteristics of the three brands of gasoline?
  2. b. Analyze the experimental data using the ANOVA procedure for completely randomized designs. Compare your findings with those obtained in part (a). What is the advantage of attempting to remove the block effect?
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1. A new drug for pain relief is being tested within a given palliative care population. The new drug is being compared to an already approved pain relief drug that is commonly used in providing palliative care to patients who experience chronic severe pain. Assume the patients are asked to rate the pain on a scale from 1 to 10, and the data presented below was obtained from a small study designed to compare the effectiveness of the two drugs. Set up and interpret the results of a Mann-Whitney U test with an alpha of .05.Pain Rating as Reported by PatientsOld Drug 1 3 3 4 6 New Drug 1 2 3 3 7 A) We fail to reject H0, which states the two populations are equal at the alpha equals .05 level because the calculated U value of 10.5 is greater than the critical U value of 2.B) We fail to reject H0, which states the two populations are equal at the alpha equals .05 level because the calculated U value of 14.5 is greater than the critical U value of 2.C) We reject H0 in favor of H1, which…
1. A new drug for pain relief is being tested within a given palliative care population. The new drug is being compared to an already approved pain relief drug that is commonly used in providing palliative care to patients who experience chronic severe pain. Assume the patients are asked to rate the pain on a scale from 1 to 10, and the data presented below was obtained from a small study designed to compare the effectiveness of the two drugs. Set up and interpret the results of a Mann-Whitney U test with an alpha of .05.Pain Rating as Reported by PatientsOld Drug 1 2 2 4 6New Drug 1 2 2 3 7Total Sample(Ordered Smallest to Largest)RanksOld Drug New DrugOld Drug New Drug Old Drug New Drug1 1 1 1 1.5 1.52 2 2 2 4.5 4.52 2 2 2 4.5 4.5
1. A new drug for pain relief is being tested within a given palliative care population. The new drug is being compared to an already approved pain relief drug that is commonly used in providing palliative care to patients who experience chronic severe pain. Assume the patients are asked to rate the pain on a scale from 1 to 10, and the data presented below was obtained from a small study designed to compare the effectiveness of the two drugs. Set up and interpret the results of a Mann-Whitney U test with an alpha of .05.                           Pain Rating as Reported by Patients Old Drug         1          2          2            4          6          New Drug       1          2          2            3          7 Old Drug New Drug Total Sample (Ordered Smallest to Largest) Ranks Old Drug New Drug Old Drug New Drug 1 1 1 1 1.5 1.5 2 2 2 2 4.5 4.5 2 2 2 2 4.5 4.5 4 3   3   7 6 7 4   8…

Chapter 13 Solutions

Essentials Of Statistics For Business & Economics

Ch. 13.2 - Paint-Drying Robots. How long it takes paint to...Ch. 13.2 - Restaurant Satisfaction. The Consumer Reports...Ch. 13.3 - The following data are from a completely...Ch. 13.3 - The following data are from a completely...Ch. 13.3 - Testing Chemical Processes. To test whether the...Ch. 13.3 - Confidence Intervals for Different Processes....Ch. 13.3 - Marketing Ethics. In the digital age of marketing,...Ch. 13.3 - Machine Breakdowns. To test for any significant...Ch. 13.3 - Testing Time to Breakdown Between All Pairs of...Ch. 13.3 - Minor league Baseball Attendance. The...Ch. 13.4 - Consider the experimental results for the...Ch. 13.4 - Prob. 22ECh. 13.4 - An experiment has been conducted for four...Ch. 13.4 - Auto Tune-Ups. An automobile dealer conducted a...Ch. 13.4 - Airfares on Travel Websites. Are there differences...Ch. 13.4 - SAT Performance. The Scholastic Aptitude Test...Ch. 13.4 - Consumer Preferences. In 2018, consumer goods...Ch. 13.5 - A factorial experiment involving two levels of...Ch. 13.5 - The calculations for a factorial experiment...Ch. 13.5 - Mobile App Website Design. Based on a 2018 study,...Ch. 13.5 - Amusement Park Queues. An amusement park studied...Ch. 13.5 - Auto Fuel Efficiency. As part of a study designed...Ch. 13.5 - Tax Research. A study reported in The Accounting...Ch. 13 - Paper Towel Absorption. In a completely randomized...Ch. 13 - Job Satisfaction. A study reported in the Journal...Ch. 13 - Prob. 36SECh. 13 - College Attendance Rates. The following data show...Ch. 13 - Assembly Methods. Three different assembly methods...Ch. 13 - Job Automation. A Pew Research study conducted in...Ch. 13 - Fuel Efficiency of Gasoline Brands. A research...Ch. 13 - Late-Night Talk Show Viewership. Jimmy Kimmel...Ch. 13 - Golf Club Design. A major manufacturer of golf...Ch. 13 - Language Translation. A factorial experiment was...Ch. 13 - Defective Parts. A manufacturing company designed...Ch. 13 - CASE PROBLEM 1: WENTWORTH MEDICAL CENTER As part...Ch. 13 - CASE PROBLEM 2: COMPENSATION FOR SALES...Ch. 13 - TOURISTOPIA TRAVEL TourisTopia Travel (Triple T)...
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