Statistics for Management and Economics (Book Only)
11th Edition
ISBN: 9781337296946
Author: Gerald Keller
Publisher: Cengage Learning
expand_more
expand_more
format_list_bulleted
Question
Chapter 14.A, Problem 1E
To determine
Compute the ANOVA table.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
Allegiant Airlines is considering an overbooking policy for one of its flights. The airplane has 50 seats, but Allegiant is considering accepting more reservations than seats because sometimes passengers do not show up for their flights, resulting in empty seats. The PassengerAppearance worksheet in the file Overbooking contains data on 1,000 passengers showing whether or not they showed up for their respective flights.
In addition, Allegiant has conducted a field experiment to gauge the demand for reservations for the current flight. During this experiment, they did not limit the number of reservations for the flight to observe the uncensored demand. The following table summarizes the result of the field experiment.
No. of Reservations Demanded
Probability
48
0.05
49
0.05
50
0.15
51
0.30
52
0.25
53
0.10
54
0.10
Suppose Allegiant receives a marginal profit of $108 for each passenger who books a reservation (regardless of whether they show up). In addition, suppose…
A salesman for a new manufacturer of cellular phones claims not only that they cost the retailer less but also that the percentage of defective cellular phones found among his products, ( p1 ), will be no higher than the percentage of defectives found in a competitor's line, ( p2 ). To test this statement, the retailer took a random sample of 130 of the salesman's cellular phones and 110 of the competitor's cellular phones. The retailer found that 10 of the salesman's cellular phones and 5 of the competitor's cellular phones were defective. Does the retailer have enough evidence to reject the salesman's claim? Use a significance level of α=0.05 for the test. Step 5 of 6 : Determine the decision rule for rejecting the null hypothesis H0 . Round the numerical portion of your answer to three decimal places.
Note:
If your answer does not exactly match the correct choice, it is due to rounding of intermediate calculations. To
avoid the discrepancy, do your calculations in Excel without rounding.
A life insurance company wishes to examine the relationship between the amount of life insurance held by a
family and family income. From a random sample of households, the company collected the accompanying
data. The data are in units of thousands of dollars.
INSUR
INCOME
97
38
141
29
y =
X =
Let
INSUR
280
75
%3D
INCOME
303
81
453
137
357
77
199
43
251
53
807
184
147
45
272
70
537
128
527
117
245
55
483
116
673
204
194
46
154
51
163
48
2
The denominator of the slope coefficient formula for the estimated regression equation is:
108,450.87
280
69
a
507
140
b
105,805.73
464
136
103,225.10
321
71
d
100,707.41
873
206
476
144
574
111
251
65
497
130
826
171
133
32
259
82
281
73
446
146
332
77
219
48
208
55
180
48
169
42
273
69
502
127
547
126
281
80
428
143
370
77
221
49
214
51
Chapter 14 Solutions
Statistics for Management and Economics (Book Only)
Ch. 14.1 - Prob. 1ECh. 14.1 - Prob. 2ECh. 14.1 - Prob. 3ECh. 14.1 - Prob. 4ECh. 14.1 - Prob. 5ECh. 14.1 - Prob. 6ECh. 14.1 - Prob. 7ECh. 14.1 - Prob. 8ECh. 14.1 - Prob. 9ECh. 14.1 - Prob. 10E
Ch. 14.1 - Prob. 11ECh. 14.1 - Prob. 12ECh. 14.1 - Prob. 13ECh. 14.1 - Prob. 14ECh. 14.1 - Prob. 15ECh. 14.1 - Prob. 16ECh. 14.1 - Prob. 17ECh. 14.1 - Prob. 18ECh. 14.1 - Prob. 19ECh. 14.1 - Prob. 20ECh. 14.1 - Prob. 21ECh. 14.1 - Prob. 22ECh. 14.1 - Prob. 23ECh. 14.1 - Prob. 24ECh. 14.1 - Prob. 25ECh. 14.1 - Prob. 26ECh. 14.1 - Prob. 27ECh. 14.1 - Prob. 28ECh. 14.1 - Prob. 29ECh. 14.1 - Prob. 30ECh. 14.1 - Prob. 31ECh. 14.1 - Prob. 32ECh. 14.1 - Prob. 33ECh. 14.1 - Prob. 34ECh. 14.1 - Prob. 35ECh. 14.1 - Prob. 36ECh. 14.1 - Prob. 37ECh. 14.1 - Prob. 38ECh. 14.1 - Prob. 39ECh. 14.1 - Prob. 40ECh. 14.1 - Prob. 41ECh. 14.1 - Prob. 42ECh. 14.1 - Prob. 43ECh. 14.1 - Prob. 44ECh. 14.1 - Prob. 45ECh. 14.1 - Prob. 46ECh. 14.1 - Prob. 47ECh. 14.1 - Prob. 48ECh. 14.1 - Prob. 49ECh. 14.1 - Prob. 50ECh. 14.1 - Prob. 51ECh. 14.1 - Prob. 52ECh. 14.1 - Prob. 53ECh. 14.1 - Prob. 54ECh. 14.1 - Prob. 55ECh. 14.1 - Prob. 56ECh. 14.2 - Prob. 57ECh. 14.2 - Prob. 58ECh. 14.2 - Prob. 59ECh. 14.2 - Prob. 60ECh. 14.2 - Prob. 61ECh. 14.2 - Prob. 62ECh. 14.2 - Prob. 63ECh. 14.2 - Prob. 64ECh. 14.2 - Prob. 65ECh. 14.2 - Prob. 66ECh. 14.2 - Prob. 67ECh. 14.2 - Prob. 68ECh. 14.2 - Prob. 69ECh. 14.2 - Prob. 70ECh. 14.2 - Prob. 71ECh. 14.2 - Prob. 72ECh. 14.2 - Prob. 73ECh. 14.2 - Prob. 74ECh. 14.2 - Prob. 75ECh. 14.2 - Prob. 76ECh. 14.2 - Prob. 77ECh. 14.2 - Prob. 78ECh. 14.2 - Prob. 79ECh. 14.2 - Prob. 80ECh. 14.2 - Prob. 81ECh. 14.2 - Prob. 82ECh. 14.4 - Prob. 83ECh. 14.4 - Prob. 84ECh. 14.4 - Prob. 85ECh. 14.4 - Prob. 86ECh. 14.4 - Prob. 87ECh. 14.4 - Prob. 88ECh. 14.4 - Prob. 89ECh. 14.4 - Prob. 90ECh. 14.4 - Prob. 91ECh. 14.4 - Prob. 92ECh. 14.4 - Prob. 93ECh. 14.4 - Prob. 94ECh. 14.4 - Prob. 95ECh. 14.4 - Prob. 96ECh. 14.4 - Prob. 97ECh. 14.4 - Prob. 98ECh. 14.4 - Prob. 99ECh. 14.5 - Prob. 100ECh. 14.5 - Prob. 101ECh. 14.5 - Prob. 102ECh. 14.5 - Prob. 103ECh. 14.5 - Prob. 104ECh. 14.5 - Prob. 105ECh. 14.5 - Prob. 106ECh. 14.5 - Prob. 107ECh. 14.5 - Prob. 108ECh. 14.5 - Prob. 109ECh. 14.6 - Prob. 110ECh. 14.6 - Prob. 111ECh. 14.6 - Prob. 112ECh. 14.A - Prob. 1ECh. 14.A - Prob. 2ECh. 14.A - Prob. 3ECh. 14.A - Prob. 4ECh. 14.A - Prob. 5ECh. 14.A - Prob. 6ECh. 14.A - Prob. 7ECh. 14.A - Prob. 8ECh. 14.A - Prob. 9ECh. 14.A - Prob. 10ECh. 14.A - Prob. 11ECh. 14.A - Prob. 12ECh. 14.A - Prob. 13ECh. 14.A - Prob. 14ECh. 14.A - Prob. 15ECh. 14.A - Prob. 16ECh. 14.A - Prob. 17ECh. 14.A - Prob. 18ECh. 14.A - Prob. 19ECh. 14.A - Prob. 20ECh. 14.A - Prob. 21ECh. 14.A - Prob. 22ECh. 14.A - Prob. 23ECh. 14.A - Prob. 24ECh. 14.A - Prob. 25ECh. 14.A - Prob. 26ECh. 14.A - Prob. 27ECh. 14.A - Prob. 28ECh. 14.A - Prob. 29ECh. 14.A - Prob. 30ECh. 14.A - Prob. 31ECh. 14.A - Prob. 32ECh. 14.A - Prob. 33ECh. 14.A - Prob. 34ECh. 14.A - Prob. 35ECh. 14.A - Prob. 36ECh. 14.A - Prob. 37ECh. 14.A - Prob. 38ECh. 14.A - Prob. 39ECh. 14.A - Prob. 40ECh. 14.A - Prob. 41ECh. 14.A - Prob. 42ECh. 14 - Prob. 113CECh. 14 - Prob. 114CECh. 14 - Prob. 115CECh. 14 - Prob. 116CECh. 14 - Prob. 117CECh. 14 - Prob. 118CECh. 14 - Prob. 119CECh. 14 - Prob. 120CECh. 14 - Prob. 121CECh. 14 - Prob. 122CECh. 14 - Prob. 123CECh. 14 - Prob. 124CECh. 14 - Prob. 125CECh. 14 - Prob. 126CECh. 14 - Prob. 127CECh. 14 - Prob. 128CECh. 14 - Prob. 129CECh. 14 - Prob. 130CECh. 14 - Prob. 131CECh. 14 - Prob. 132CECh. 14 - Prob. 133CECh. 14 - Prob. 134CECh. 14 - Prob. 135CECh. 14 - Prob. 136CECh. 14 - Prob. 137CECh. 14 - Prob. 138CECh. 14 - Prob. 139CECh. 14 - Prob. 140CECh. 14 - Prob. 141CECh. 14 - Prob. 142CECh. 14 - Prob. 143CECh. 14 - Prob. 144CECh. 14 - Prob. 145CECh. 14 - Prob. 146CE
Knowledge Booster
Similar questions
- A salesman for a new manufacturer of cellular phones claims not only that they cost the retailer less but also that the percentage of defective cellular phones found among his products, ( p1 ), will be no higher than the percentage of defectives found in a competitor's line, ( p2 ). To test this statement, the retailer took a random sample of 185 of the salesman's cellular phones and 150 of the competitor's cellular phones. The retailer found that 22 of the salesman's cellular phones and 11 of the competitor's cellular phones were defective. Does the retailer have enough evidence to reject the salesman's claim? Use a significance level of α=0.05 for the test. Step 1 of 6 : State the null and alternative hypotheses for the test.arrow_forwardTextbook authors must be careful that the reading level of their book is appropriate for the target audience. Some methods of assessing reading level require estimating the average word length. We've randomly chosen 20 words from a randomly selected page in Intro Stats and counted the number of letters in each word: 5, 5, 2, 11, 3, 5, 6, 8, 5, 4, 7, 2, 9, 4, 8, 10, 4, 7, 6, 9 Suppose that our editor was hoping that the book would have a mean word length of 6.8 letters. Does this sample indicate that the authors failed to meet this goal? With a significance level of 0.05, test an appropriate hypothesis and state your conclusion. (i.e state the appropriate null and alternative hypotheses, calculate the test statistic, conclude and interpret it).arrow_forwardA company launched a sales campaign and appointed 110 salesmen for this purpose. At the end of the period the sales results were analysed and the following information was obtained. Sales ('000 Number of Salesmen Sales ('000- Number of Salesmen 4 50-55 55-60 75-80 18 7 80-85 12 60-65 10 85-90 10 65-70 20 90 and above 5 70-75 22 It was decided to group the salesm into three categories: (i) Those whose sales were less than dollar 68,000, (ii) those whose sales were more than Dollar 68,000, but less t han dollar 86,000, and (iii) those w hose sales exceeded Dollar 86,000. The salesmen in the first category were to be given further training an d those in the third category to be given efficiency bonus of 2% of thei r sales. Find how many will be train and how much bonus will be pai d ? State the assumptions, if any.arrow_forward
- An economist collects data regarding the number of jobs an individual has held by age 21. Tim states he had 4 jobs, Sam had 3, Jill had 3, Sally had 2, and Watney had 10.An economist should use the to draw conclusions. A typical individual had jobs by the age 21.arrow_forwardMany parents allow underage children to drink alcohol in limited situations when an adult is present to supervise. The idea is that teens will learn responsible drinking habits if they first experience alcohol in a controlled environment. Other parents take a strict no-drinking approach. Researchers surveyed a sample of 200 students aged 14 to 17, about their alcohol use and about alcohol related problems. Using a=0.05, answer the questions No Alcohol related Problems Alcohol Related Problems Not allowed to drink 71 9 80 Allowed to drink 89 31 |120 160 40 N=200 What is the alternative hypothesis? [ Select] What is the null hypothesis? [ Select] What inferential test is being conducted? [ Select] What is the obtained statistic? [ Select ] What determines the critical value? [ Select ] What is the critical value? [ Select ] What is the decision rule? [ Select] What is your decision? [ Select] What is your conclusion? [ Select ]arrow_forward7. Some years ago, a new brand of toothpaste was introduced in the United States. According to its advertisements, studies showed that it had "considerable success" in improving the health of a person's teeth. Suppose that these studies were designed in the following way. The manufacturer of this toothpaste chose three samples of seven people; the first sample agreed to use the new brand, the second sample used Brand A, and the third sample used Brand B. After six months, a dentist examined each person's teeth and scored the health of his or her teeth on a scale of 0 (lowest possible score) to 100 (highest possible score). The results were as follows: New Brand Brand A Brand B 65 58 54 71 60 38 53 63 43 55 90 61 34 95 94 82 89 96 77 62 82 The manufacturer of the new toothpaste says that the average score for the new brand is 2 points higher than for Brand A and 4 points higher than for Brand B. Would you agree with the manufacturer's advertisements? Explain.arrow_forward
- The Chi-Squared Test - X² Choco-Zuties, and the other ad was for a new healthy snack called Apple-Zuties. Product advertisers studied the effects of television ads on children's choices for two new snacks. The advertisers used two 30-second television ads in an experiment. One ad was for a new sugary snack called program, the children were offered a choice between the two snacks. The table below summarizes their choices. individually watched a 30-minute television program that was interrupted for 5 minutes of advertising. After the For the experiment, 75 children were randomly assigned to one of three groups, A, B, or C. Each child Number Who Chose Choco-Zuties 21 13 22 Group A B с Kristin Trehame 11-30-20 Chapter 11 Analyzing the Association Between Categorical Variables Type of Ad Choco-Zuties only Apple-Zuties only Neither Number Who Chose Apple-Zuties 4 12 x²=(obs-exp)² exp Do the data provide convincing statistical evidence that there is an association between type of ad and…arrow_forward2. Based on past records, it is generally believed that on an average, a typical University of Technology and Applied Sciences, Nizwa student spends about 25 hours in the LRC per week. Recently, the library has been shifted to a new location which is further away from the academic block. As a result, the administration feels that students may be spending less time in the library. Accordingly a random sample of 41 students were selected and the average number of hours they spend in the library came out to be 16.78 with a standard deviation of 5.17. Carry out an appropriate test of hypotheses for the above problem to test whether the shifting of the library has adversely impacted the study time in the population of all students. (You may assume that study times/week approximately follow a normal distribution in the population).arrow_forwardBirth weight and smoking during pregnancy,Birthweight,Smoker3771,03140,03317,04210,03076,03771,03487,03487,01559,03630,03572,03260,03430,04224,02955,03912,03196,03459,03459,03430,02750,03686,03260,03969,03430,03629,02863,02830,03105,02948,03175,04309,03232,03487,02807,03820,03941,02211,03204,03657,13487,12495,14253,13147,13600,13005,12552,13147,14593,13430,11985,13317,13487,13884,13289,13470,12665,13090,12835,11843,14451,12863,1900,12353,13317,12850,13560,13080,12325,13119,13175,13313,13374,12750,12835,13345,12637,13742,13119,13345,13175,12013,13232,13286,13360,13402,12948,12580,13260,13686,12750,12977,12580,14082,12807,12381,13175,13714,13544,13544,1arrow_forward
- What is differance between three sector ecnomoy and four sector ecnomoyarrow_forwardAverage prices (in dollars) were recorded for three types of beverage across all 8 major Australian states and territories. In how many states/territories is the average price of a cappuccino higher than the average price of a flat white?arrow_forward7. A television station wishes to study the relationship between viewership of its 11 p.m. news program and viewer age (18 years or less, 19 to 35, 36 to 54, 55 or older). A sample of 250 television viewers in each age group is randomly selected, and the number who watch the station’s 11 p.m. news is found for each sample. The results are given in the table below.arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Principles of Economics (12th Edition)EconomicsISBN:9780134078779Author:Karl E. Case, Ray C. Fair, Sharon E. OsterPublisher:PEARSON
Engineering Economy (17th Edition)EconomicsISBN:9780134870069Author:William G. Sullivan, Elin M. Wicks, C. Patrick KoellingPublisher:PEARSON
Principles of Economics (MindTap Course List)EconomicsISBN:9781305585126Author:N. Gregory MankiwPublisher:Cengage Learning
Managerial Economics: A Problem Solving ApproachEconomicsISBN:9781337106665Author:Luke M. Froeb, Brian T. McCann, Michael R. Ward, Mike ShorPublisher:Cengage Learning
Managerial Economics & Business Strategy (Mcgraw-...EconomicsISBN:9781259290619Author:Michael Baye, Jeff PrincePublisher:McGraw-Hill Education
Principles of Economics (12th Edition)
Economics
ISBN:9780134078779
Author:Karl E. Case, Ray C. Fair, Sharon E. Oster
Publisher:PEARSON
Engineering Economy (17th Edition)
Economics
ISBN:9780134870069
Author:William G. Sullivan, Elin M. Wicks, C. Patrick Koelling
Publisher:PEARSON
Principles of Economics (MindTap Course List)
Economics
ISBN:9781305585126
Author:N. Gregory Mankiw
Publisher:Cengage Learning
Managerial Economics: A Problem Solving Approach
Economics
ISBN:9781337106665
Author:Luke M. Froeb, Brian T. McCann, Michael R. Ward, Mike Shor
Publisher:Cengage Learning
Managerial Economics & Business Strategy (Mcgraw-...
Economics
ISBN:9781259290619
Author:Michael Baye, Jeff Prince
Publisher:McGraw-Hill Education