Introductory Statistics, Books a la Carte Plus NEW MyLab Statistics with Pearson eText -- Access Card Package (10th Edition)
10th Edition
ISBN: 9780134270364
Author: Neil A. Weiss
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Concept explainers
Question
Chapter C, Problem 33RP
To determine
Find the randomized block ANOVA.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solutionStudents have asked these similar questions
Table 10-2
A problem with a phone line that prevents a customer from receiving or making calls is upsetting to both the customer and the telecommunications company. The file “Phone” contains samples of 20 problems reported to two different offices of a telecommunications company and the time toclear these problems (in minutes) from the customers’ lines:
Central Office I Time to Clear Problems (minutes)
1.48 1.75 0.78 2.85 0.52 1.60 4.15 3.97 1.48 3.10
1.02 0.53 0.93 1.60 0.80 1.05 6.32 3.93 5.45 0.97
Central Office II Time to Clear Problems (minutes)
7.55 3.75 0.10 1.10 0.60 0.52 3.30 2.10 0.58 4.02
3.75 0.65 1.92 0.60 1.53 4.23 0.08 1.48 1.65 0.72
Assuming that the population variances from both offices are not equal, is there evidence of a difference in the mean waiting time between two offices? (Use a = 0.01)
▪ You may need to download file “Phone”.
Referring to Table 10-2, at the α = 0.05 level, the decision is
Question 5 options:
1)
Cannot…
Table 10-2
A problem with a phone line that prevents a customer from receiving or making calls is upsetting to both the customer and the telecommunications company. The file “Phone” contains samples of 20 problems reported to two different offices of a telecommunications company and the time toclear these problems (in minutes) from the customers’ lines:
Central Office I Time to Clear Problems (minutes)
1.48 1.75 0.78 2.85 0.52 1.60 4.15 3.97 1.48 3.10
1.02 0.53 0.93 1.60 0.80 1.05 6.32 3.93 5.45 0.97
Central Office II Time to Clear Problems (minutes)
7.55 3.75 0.10 1.10 0.60 0.52 3.30 2.10 0.58 4.02
3.75 0.65 1.92 0.60 1.53 4.23 0.08 1.48 1.65 0.72
Assuming that the population variances from both offices are not equal, is there evidence of a difference in the mean waiting time between two offices? (Use a = 0.01)
▪ You may need to download file “Phone”.
Referring to Table 10-2, the correct test statistic is
Question 4 options:
1)
2.04, -2.04.…
Table 10-2
A problem with a phone line that prevents a customer from receiving or making calls is upsetting to both the customer and the telecommunications company. The file “Phone” contains samples of 20 problems reported to two different offices of a telecommunications company and the time toclear these problems (in minutes) from the customers’ lines:
Central Office I Time to Clear Problems (minutes)
1.48 1.75 0.78 2.85 0.52 1.60 4.15 3.97 1.48 3.10
1.02 0.53 0.93 1.60 0.80 1.05 6.32 3.93 5.45 0.97
Central Office II Time to Clear Problems (minutes)
7.55 3.75 0.10 1.10 0.60 0.52 3.30 2.10 0.58 4.02
3.75 0.65 1.92 0.60 1.53 4.23 0.08 1.48 1.65 0.72
Assuming that the population variances from both offices are not equal, is there evidence of a difference in the mean waiting time between two offices? (Use a = 0.01)
▪ You may need to download file “Phone”.
Referring to Table 10-2, at the α = 0.05 level, the correct critical value(s) is (are)
Question 3 options:…
Chapter C Solutions
Introductory Statistics, Books a la Carte Plus NEW MyLab Statistics with Pearson eText -- Access Card Package (10th Edition)
Ch. C.1 - Define the following terms: a. factor b. levels of...Ch. C.1 - A three-way factorial design has Factor A at 3...Ch. C.1 - A four-way factorial design has Factor A at 2...Ch. C.1 - A three-way factorial design has Factor A at 6...Ch. C.1 - Answer true or false to each of the following...Ch. C.1 - Prob. 8ECh. C.1 - Answer true or false to each of the following...Ch. C.1 - Prob. 10ECh. C.1 - In each of Exercises C.11C.17 identify the...Ch. C.1 - In each of Exercises C.11C.17 identify the...
Ch. C.1 - In each of Exercises C.11C.17 identify the...Ch. C.1 - In each of Exercises C.11C.17 identify the...Ch. C.1 - In each of Exercises C.11C.17 identify the...Ch. C.1 - Prob. 16ECh. C.1 - In each of Exercises C.11C.17 identify the...Ch. C.2 - Consider a 3 4 ANOVA. a. Identify the number of...Ch. C.2 - Consider a 4 2 ANOVA. a. Identify the number of...Ch. C.2 - Prob. 25ECh. C.2 - Prob. 26ECh. C.2 - Prob. 27ECh. C.2 - Prob. 28ECh. C.2 - In two-way ANOVA, identify what we mean by a. a...Ch. C.2 - In two-way ANOVA, what does it mean we have...Ch. C.2 - In Exercises C.31C.33, we have presented partially...Ch. C.2 - Prob. 32ECh. C.2 - Prob. 33ECh. C.2 - Prob. 34ECh. C.2 - State the null and alternative hypotheses for a...Ch. C.2 - Prob. 36ECh. C.2 - In a two-way ANOVA, why is the test for...Ch. C.2 - Prob. 38ECh. C.2 - Prob. 39ECh. C.2 - Prob. 40ECh. C.2 - Prob. 41ECh. C.2 - Referring to Exercise C.38, for which part(s) is...Ch. C.2 - Prob. 43ECh. C.2 - Prob. 44ECh. C.2 - Prob. 45ECh. C.2 - Prob. 46ECh. C.3 - In each of Exercises C.47C.53, we have presented a...Ch. C.3 - In each of Exercises C.47C.53, we have presented a...Ch. C.3 - Prob. 49ECh. C.3 - Prob. 50ECh. C.3 - Prob. 51ECh. C.3 - Prob. 52ECh. C.3 - Prob. 53ECh. C.3 - Prob. 54ECh. C.3 - Prob. 55ECh. C.3 - Prob. 56ECh. C.3 - Prob. 57ECh. C.3 - Prob. 58ECh. C.3 - Prob. 59ECh. C.3 - Prob. 60ECh. C.3 - Prob. 61ECh. C.3 - Prob. 62ECh. C.3 - Prob. 63ECh. C.3 - Prob. 64ECh. C.3 - Prob. 65ECh. C.3 - Prob. 66ECh. C.3 - Prob. 67ECh. C.3 - Prob. 68ECh. C.3 - Prob. 69ECh. C.3 - Prob. 70ECh. C.3 - Prob. 71ECh. C.4 - In an experiment with two factors, A and B, what...Ch. C.4 - If the confidence interval for the difference...Ch. C.4 - Prob. 74ECh. C.4 - Prob. 75ECh. C.4 - Let Factor A have three levels and Factor B have...Ch. C.4 - In Exercises C.77C.83, we have repeated the...Ch. C.4 - Prob. 78ECh. C.4 - In Exercises C.77C.83, we have repeated the...Ch. C.4 - Prob. 80ECh. C.4 - In Exercises C. 77-C.83. we have repeated the...Ch. C.4 - In Exercises C.77C.83, we have repeated the...Ch. C.4 - Prob. 83ECh. C.4 - Household Income. Refer to Exercise C.77. Use the...Ch. C.4 - Prob. 85ECh. C.4 - Prob. 86ECh. C.4 - Highway Signs. Refer to Exercise C.80. Use the...Ch. C.4 - Hospital Stays. Refer to Exercise C.81. Use the...Ch. C.4 - Prob. 89ECh. C.4 - Advertising and Sales. Refer to Exercise C.83. Use...Ch. C.5 - In each of Exercises C.91C.97, identify the...Ch. C.5 - Prob. 92ECh. C.5 - In each of Exercises C.91C.97, identify the...Ch. C.5 - In each of Exercises C.91C.97, identify the...Ch. C.5 - In each of Exercises C.91C.97, identify the...Ch. C.5 - In each of Exercises C.91C.97, identify the...Ch. C.5 - In each of Exercises C.91C.97, identify the...Ch. C.6 - What is the purpose of blocking in a randomized...Ch. C.6 - Prob. 104ECh. C.6 - Prob. 105ECh. C.6 - Prob. 106ECh. C.6 - Answer true or false to the following statements...Ch. C.6 - Prob. 108ECh. C.6 - In randomized block ANOVA, what is meant when we...Ch. C.6 - Prob. 110ECh. C.6 - State the null and alternative hypotheses for a...Ch. C.6 - Identify, give the degrees of freedom for, and...Ch. C.6 - Prob. 113ECh. C.6 - Prob. 114ECh. C.6 - Prob. 115ECh. C.6 - Prob. 116ECh. C.6 - Prob. 117ECh. C.6 - Prob. 118ECh. C.7 - In each of Exercises C.119C.125, we have presented...Ch. C.7 - Prob. 120ECh. C.7 - Prob. 121ECh. C.7 - Prob. 122ECh. C.7 - Prob. 123ECh. C.7 - Prob. 124ECh. C.7 - Prob. 125ECh. C.7 - Prob. 126ECh. C.7 - Prob. 127ECh. C.7 - Prob. 128ECh. C.7 - Prob. 129ECh. C.7 - Prob. 130ECh. C.7 - Prob. 131ECh. C.7 - Penicillin Yields. Refer to Exercise C.121. Use...Ch. C.7 - Prob. 133ECh. C.7 - Battery Lifetimes. Refer to Exercise C.123. Use...Ch. C.7 - Prob. 135ECh. C.7 - Prob. 136ECh. C.7 - Prob. 137ECh. C.7 - Prob. 138ECh. C.7 - Prob. 139ECh. C.7 - Prob. 140ECh. C.7 - Prob. 141ECh. C.7 - Golf Ball Driving Distances. Refer to Exercise...Ch. C.7 - Prob. 143ECh. C.7 - Analgesic Effectiveness. Refer to the analgesic...Ch. C.8 - In a randomized block experiment with treatment...Ch. C.8 - If the confidence interval for the difference...Ch. C.8 - The parameter v for the q-curve in a Tukey...Ch. C.8 - Prob. 148ECh. C.8 - Prob. 149ECh. C.8 - Prob. 150ECh. C.8 - Prob. 151ECh. C.8 - Prob. 152ECh. C.8 - Prob. 153ECh. C.8 - Prob. 154ECh. C.8 - Mileage for Gasoline Brands. Refer to Exercises...Ch. C.8 - Prob. 156ECh. C.8 - Prob. 157ECh. C.8 - Barley Variety Yields. Refer to Exercises C.125...Ch. C.8 - Prob. 159ECh. C.9 - Of which test is the Friedman test a nonparametric...Ch. C.9 - Prob. 161ECh. C.9 - Prob. 162ECh. C.9 - Prob. 163ECh. C.9 - Fill in the following blank: If the null...Ch. C.9 - Prob. 165ECh. C.9 - For a Friedman test to compare the means of six...Ch. C.9 - Prob. 167ECh. C.9 - In each of Exercises C.168C.I74, determine whether...Ch. C.9 - Prob. 169ECh. C.9 - Prob. 170ECh. C.9 - Prob. 171ECh. C.9 - Prob. 172ECh. C.9 - Prob. 173ECh. C.9 - Prob. 174ECh. C.9 - Prob. 175ECh. C.9 - Prob. 176ECh. C.9 - Prob. 177ECh. C.9 - Prob. 178ECh. C.9 - Prob. 179ECh. C.9 - Prob. 180ECh. C.9 - Prob. 181ECh. C - Discuss the differences between a designed...Ch. C - In a complete factorial design, how do you...Ch. C - Prob. 3RPCh. C - Prob. 4RPCh. C - Prob. 5RPCh. C - Prob. 6RPCh. C - Prob. 7RPCh. C - For a two-way ANOVA: a. List and interpret the...Ch. C - Prob. 9RPCh. C - Prob. 10RPCh. C - State the assumptions for a two-way ANOVA and...Ch. C - Prob. 12RPCh. C - Prob. 13RPCh. C - Prob. 14RPCh. C - This problem concerns multiple comparisons. a....Ch. C - Cereal Sales. Refer to Problem 13. Perform...Ch. C - Explain why it is sometimes preferable to employ a...Ch. C - For a randomized block ANOVA: a. List and...Ch. C - Prob. 19RPCh. C - Prob. 20RPCh. C - Prob. 21RPCh. C - Prob. 22RPCh. C - Prob. 23RPCh. C - Prob. 24RPCh. C - Prob. 25RPCh. C - Identify the nonparametric alternative to the...Ch. C - Explain the logic behind the Friedman test.Ch. C - Prob. 28RPCh. C - Prob. 29RPCh. C - Prob. 30RPCh. C - Prob. 31RPCh. C - Prob. 32RPCh. C - Prob. 33RPCh. C - Prob. 34RPCh. C - Prob. 35RPCh. C - Prob. 36RP
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Similar questions
- Table 10-2 A problem with a phone line that prevents a customer from receiving or making calls is upsetting to both the customer and the telecommunications company. The file “Phone” contains samples of 20 problems reported to two different offices of a telecommunications company and the time toclear these problems (in minutes) from the customers’ lines: Central Office I Time to Clear Problems (minutes) 1.48 1.75 0.78 2.85 0.52 1.60 4.15 3.97 1.48 3.10 1.02 0.53 0.93 1.60 0.80 1.05 6.32 3.93 5.45 0.97 Central Office II Time to Clear Problems (minutes) 7.55 3.75 0.10 1.10 0.60 0.52 3.30 2.10 0.58 4.02 3.75 0.65 1.92 0.60 1.53 4.23 0.08 1.48 1.65 0.72 Assuming that the population variances from both offices are not equal, is there evidence of a difference in the mean waiting time between two offices? (Use a = 0.01) ▪ You may need to download file “Phone”. Referring to Table 10-2, judging from the way the data were collected, which test would likely be most appropriate to…arrow_forwardNote here that the Y column (minutes spent) is the first, and the X column (number of copiers serviced) is the second.arrow_forwardProblem 4. Suppose we use the GSS data to examine the relationship between education attainment (RDEGREE: 0 = less than high school, 1 = high school degree, 2 = some college or more) and the variable HELPPOOR, which measures support for the statement that the government should do everything possible to improve the standard of living of all poor Americans (see table below). Less than HS degree High school degree Some college or more Total Should government improve standard of living? 1 = Government action 30 65 32 127 2 6 32 41 79 3 = Agree with both 32 153 126 311 4 6 56 58 120 5 = People help selves 14 69 35 118 Total 88 375 292 755 Use the procedure we learned in class to calculate the value of Chi-square. Present the expected values for each cell in a table. Then, report the value Chi-square value. Using an alpha of 0.05, do you reject the…arrow_forward
- Problem 10.5. Are sexually active teenagers any better informed about AIDS and other potential health problems related to sex than teenagers who are sexually inactive? A 15-item test of general knowledge about sex and health was administered to random samples of teens who are sexually inactive, teens who are sexually active but with only a single partner, and teens who are sexually active with more than one partner. Is there any significant difference on the test scores? Use the graph below to find the answer.arrow_forwardVinuarrow_forwardDrop-off points (points de collecte in French), where residents can dispose of their organic waste for composting, were established in each of the five targeted neighborhoods of PROBLEM 1. Camille wants to see whether or not there exists a relationship between the average weekly amount of non-disposed food waste per household and the availability of drop-off points in the neighborhood, expressed as the number of households per drop-off point (considered fixed). Her data and some of her preliminary calculations are presented below: Camille also calculated the slope of the fitted regression line: estimated slope = 0.008. Test whether or not the availability of drop-off points in the neighborhood has a linear effect on the amount of non-disposed food waste per household. Use α = 0.10.arrow_forward
- Drop-off points (points de collecte in French), where residents can dispose of their organic waste for composting, were established in each of the five targeted neighborhoods of PROBLEM 1. Camille wants to see whether or not there exists a relationship between the average weekly amount of non-disposed food waste per household and the availability of drop-off points in the neighborhood, expressed as the number of households per drop-off point (considered fixed). Her data and some of her preliminary calculations are presented below: Number of Amount of non- (x, – x)* (Y, -Y) (x; - x)(Y, – Y) households per drop-off point disposed food waste per household (kg/week) Yi Xi 387.5 4.0 7656.25 0.25 43.75 337.5 3.2 1406.25 0.09 -11.25 187.5 2.5 12656.25 1.00 112.50 412.5 5.0 12656.25 2.25 168.75 175.0 2.8 15625 0.49 87.50 E; = 1500 Σ 17.5 E; = 50000 Σ -4.08 Ej = 401.25 2) Camille also calculated the slope of the fitted regression line: estimated slope = 0.008. Test whether or not the…arrow_forwardQuestion 6 In an effort to reduce the number of hospital-acquired conditions (such as infection resulting from the hospital stay), Medicare officials score hospitals on a 10-point scale with a lower score representing a better patient track record. The federal government reduces Medicare payments to those hospitals with the worst scores. The following data represent the scores received by Illinois hospitals. Score 1-1.9 2-2.9 3-3.9 4-4.9 5-5.9 6-6.9 7-7.9 8-8.9 9-10 Total Frequency 3 12 16 23 23 21 17 5 5 125 a) Determine the probability that a randomly selected hospital in Illinois has a score between 7 and 7.9. b) Determine the probability that a randomly selected hospital in Illinois has a score that is not between 7 and 7.9. c) Determine the probability that a randomly selected hospital in Illinois has a score less than 5.arrow_forwarda. Compute the incidence rate of coronary artery disease in patients receiving the new cholesterol medication. b. Compute the incidence rate of coronary artery disease in patients receiving a placebo. attached is the image of the data for this problemarrow_forward
- Working problem 4.18 : The data in the Table below was taken from the U.S. Census Bureau report titled “HINC-01. Selected Characteristics of Households, by Total Money Income in 2005" (http://www.census.gov/hhes/www/cpstables/032010/hhinc/new01 001.htm) Income Under $20,000 $20,000 to < $40,000 $40,000 to < $60,000 S60,000 to < $80,000 $80,000 to < $100,000 Above $100.000 Houscholds (thousands) 24,559 26.904 20,026 14,535 9362 7,813 If a U.S. family is selected at random, Determine What is the probability that the family has an annual income of under $20,000 What is the probability that the family has an annual income of under $60,000 -What is the probability that the family selected has an annual income of less than $40,000 or less than $80,000? 41arrow_forward- Part 1 Rework problem 23 in section 1 of Chapter 7 of your textbook, about the Useful Gadget Company, using the following data. Assume that the amounts of time (in hours) required for assembling, painting, and installing locks for lots of 100 gadgets of the various types are as given in the following table: Time for Time for Time for Lock Type of Gadget Assembly, Hours Painting, Hours Installation, Hours Small without lock 2 2 Small with lock 4 4 Medium with lock 2 Large with lock 7 8 7 Assume also that each day the company has available 9.5 hours for assembly, 14 hours for painting, and 3.5 hours for installation of locks. Assume also that the profit on each small gadget without a lock is $0.05, the profit on each small gadget with a lock is $0.11, the profit on each medium gadget with a lock is $0.15, and the profit on each large gadget with a lock is $0.23. How many gadgets of each type should the company make in order maximize its profit? When you formulate a linear programming…arrow_forward2. Clark Property Management is responsible for the maintenance, rental, and day-to-day operation of a large apartment complex on the east side of New Orleans. George Clark is especially concerned about the cost projections for replacing air conditioner compressors. He would like to simulate the number of compressor failures each year over the next 20 years. Using data from a similar apartment building he manages in a New Orleans suburb, Clark establishes a table of the relative frequency of failures during a year as shown in the following table: NUMBER OF A.C. PROBABILITY COMPRESSOR FAILURES (RELATIVE FREQUENCY) 0.06 0.13 0.25 0.28 4 0.20 5 0.07 0.01 He decides to simulate the 20-year period by selecting the last two-digit random numbers from the first line (101), starting with the random number 23. Conduct the simulation for Clark. Is it common to have three or more consecutive years of operation with two or fewer compressor failures per year?arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- Linear Algebra: A Modern IntroductionAlgebraISBN:9781285463247Author:David PoolePublisher:Cengage Learning
Linear Algebra: A Modern Introduction
Algebra
ISBN:9781285463247
Author:David Poole
Publisher:Cengage Learning
Statistics 4.1 Point Estimators; Author: Dr. Jack L. Jackson II;https://www.youtube.com/watch?v=2MrI0J8XCEE;License: Standard YouTube License, CC-BY
Statistics 101: Point Estimators; Author: Brandon Foltz;https://www.youtube.com/watch?v=4v41z3HwLaM;License: Standard YouTube License, CC-BY
Central limit theorem; Author: 365 Data Science;https://www.youtube.com/watch?v=b5xQmk9veZ4;License: Standard YouTube License, CC-BY
Point Estimate Definition & Example; Author: Prof. Essa;https://www.youtube.com/watch?v=OTVwtvQmSn0;License: Standard Youtube License
Point Estimation; Author: Vamsidhar Ambatipudi;https://www.youtube.com/watch?v=flqhlM2bZWc;License: Standard Youtube License