EBK STATISTICS FOR MANAGEMENT AND ECONO
10th Edition
ISBN: 9780100546462
Author: KELLER
Publisher: YUZU
expand_more
expand_more
format_list_bulleted
Question
Chapter 13.5, Problem 172E
To determine
Hypothesis test.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
A government study found that people who eat chocolate frequently weighless than people who don’t. Researchers questioned 1000 individuals fromCalifornia between the ages of 20 and 85 about their eating habits, andmeasured their weight and height. On average, participants ate chocolatetwice a week and had a body mass index (BMI) of 28. There was anobserved difference of five to seven pounds in weight between those whoate chocolate five times a week and those who did not eat any chocolate atall, with the chocolate eaters weighing less on average. Frequent chocolateeaters also consumed more calories, on average, than people who consumedless chocolate. Based on this summary, would you recommend thatAmerican’s who do not presently eat chocolate, consider eating chocolateup to five times a week if they want to lose weight? Why or why not?Explain.
Medical tests were conducted to learn about drug-resistant tuberculosis. Of 142 cases tested in New Jersey, 9 were found to be drug-resistant. Of 268 cases tested in Texas, 5 were found to be drug-resistant. Do these data suggest a statistically significant difference between the proportions of drug-resistant cases in the two states? Use a .02 level of significance. What is the -value, and what is your conclusion?
Test statistic =
A 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.
Chapter 13 Solutions
EBK STATISTICS FOR MANAGEMENT AND ECONO
Ch. 13.1 - Prob. 5ECh. 13.1 - Prob. 6ECh. 13.1 - Prob. 7ECh. 13.1 - Prob. 8ECh. 13.1 - Prob. 9ECh. 13.1 - Prob. 10ECh. 13.1 - Prob. 11ECh. 13.1 - Prob. 12ECh. 13.1 - Prob. 13ECh. 13.1 - Prob. 14E
Ch. 13.1 - Prob. 15ECh. 13.1 - Prob. 16ECh. 13.1 - Prob. 17ECh. 13.1 - Prob. 18ECh. 13.1 - Prob. 19ECh. 13.1 - Prob. 20ECh. 13.1 - Prob. 21ECh. 13.1 - Prob. 22ECh. 13.1 - Prob. 23ECh. 13.1 - Prob. 24ECh. 13.1 - Prob. 25ECh. 13.1 - Prob. 26ECh. 13.1 - Prob. 27ECh. 13.1 - Prob. 28ECh. 13.1 - Prob. 29ECh. 13.1 - Prob. 30ECh. 13.1 - Prob. 31ECh. 13.1 - Prob. 32ECh. 13.1 - Prob. 33ECh. 13.1 - Prob. 34ECh. 13.1 - Prob. 35ECh. 13.1 - Prob. 36ECh. 13.1 - Prob. 37ECh. 13.1 - Prob. 38ECh. 13.1 - Prob. 39ECh. 13.1 - Prob. 40ECh. 13.1 - Prob. 41ECh. 13.1 - Prob. 42ECh. 13.1 - Prob. 43ECh. 13.1 - Prob. 44ECh. 13.1 - Prob. 45ECh. 13.1 - Prob. 46ECh. 13.1 - Prob. 47ECh. 13.1 - Prob. 48ECh. 13.1 - Prob. 49ECh. 13.1 - Prob. 50ECh. 13.1 - Prob. 51ECh. 13.1 - Prob. 52ECh. 13.1 - Prob. 53ECh. 13.1 - Prob. 54ECh. 13.1 - Prob. 55ECh. 13.1 - Prob. 56ECh. 13.1 - Prob. 57ECh. 13.1 - Prob. 58ECh. 13.1 - Prob. 59ECh. 13.1 - Prob. 60ECh. 13.1 - Prob. 61ECh. 13.1 - Prob. 62ECh. 13.1 - Prob. 63ECh. 13.1 - Prob. 64ECh. 13.1 - Prob. 65ECh. 13.1 - Prob. 66ECh. 13.1 - Prob. 67ECh. 13.1 - Prob. 68ECh. 13.1 - Prob. 69ECh. 13.1 - Prob. 70ECh. 13.1 - Prob. 71ECh. 13.1 - Prob. 72ECh. 13.1 - Prob. 73ECh. 13.1 - Prob. 74ECh. 13.1 - Prob. 75ECh. 13.1 - Prob. 76ECh. 13.1 - Prob. 77ECh. 13.1 - Prob. 78ECh. 13.1 - Prob. 79ECh. 13.1 - Prob. 80ECh. 13.1 - Prob. 81ECh. 13.1 - Prob. 82ECh. 13.1 - Prob. 83ECh. 13.1 - Prob. 84ECh. 13.1 - Prob. 85ECh. 13.1 - Prob. 86ECh. 13.1 - Prob. 87ECh. 13.1 - Prob. 88ECh. 13.2 - Prob. 89ECh. 13.2 - Prob. 90ECh. 13.2 - Prob. 91ECh. 13.2 - Prob. 92ECh. 13.2 - Prob. 93ECh. 13.2 - Prob. 94ECh. 13.2 - Prob. 95ECh. 13.3 - Prob. 96ECh. 13.3 - Prob. 97ECh. 13.3 - Prob. 98ECh. 13.3 - Prob. 99ECh. 13.3 - Prob. 100ECh. 13.3 - Prob. 101ECh. 13.3 - Prob. 102ECh. 13.3 - Prob. 103ECh. 13.3 - Prob. 104ECh. 13.3 - Prob. 105ECh. 13.3 - Prob. 106ECh. 13.3 - Prob. 107ECh. 13.3 - Prob. 108ECh. 13.3 - Prob. 109ECh. 13.3 - Prob. 110ECh. 13.3 - Prob. 111ECh. 13.3 - Prob. 112ECh. 13.3 - Prob. 113ECh. 13.3 - Prob. 116ECh. 13.3 - Prob. 117ECh. 13.4 - Prob. 120ECh. 13.4 - Prob. 121ECh. 13.4 - Prob. 122ECh. 13.4 - Prob. 123ECh. 13.4 - Prob. 124ECh. 13.4 - Prob. 125ECh. 13.4 - Prob. 126ECh. 13.4 - Prob. 127ECh. 13.4 - Prob. 128ECh. 13.5 - Prob. 131ECh. 13.5 - Prob. 132ECh. 13.5 - Prob. 133ECh. 13.5 - Prob. 134ECh. 13.5 - Prob. 135ECh. 13.5 - Prob. 136ECh. 13.5 - Prob. 137ECh. 13.5 - Prob. 138ECh. 13.5 - Prob. 139ECh. 13.5 - Prob. 140ECh. 13.5 - Prob. 141ECh. 13.5 - Prob. 142ECh. 13.5 - Prob. 143ECh. 13.5 - Prob. 144ECh. 13.5 - Prob. 145ECh. 13.5 - Prob. 146ECh. 13.5 - Prob. 147ECh. 13.5 - Prob. 148ECh. 13.5 - Prob. 149ECh. 13.5 - Prob. 150ECh. 13.5 - Prob. 151ECh. 13.5 - Prob. 152ECh. 13.5 - Prob. 153ECh. 13.5 - Prob. 154ECh. 13.5 - Prob. 155ECh. 13.5 - Prob. 156ECh. 13.5 - Prob. 157ECh. 13.5 - Prob. 158ECh. 13.5 - Prob. 159ECh. 13.5 - Prob. 160ECh. 13.5 - Prob. 161ECh. 13.5 - Prob. 162ECh. 13.5 - Prob. 165ECh. 13.5 - Prob. 166ECh. 13.5 - Prob. 167ECh. 13.5 - Prob. 168ECh. 13.5 - Prob. 169ECh. 13.5 - Prob. 170ECh. 13.5 - Prob. 171ECh. 13.5 - Prob. 172ECh. 13.5 - Prob. 173ECh. 13.5 - Prob. 174ECh. 13.5 - Prob. 175ECh. 13.5 - Prob. 176ECh. 13.5 - Prob. 177ECh. 13.5 - Prob. 178ECh. 13.5 - Prob. 179ECh. 13.5 - Prob. 180ECh. 13.5 - Prob. 181ECh. 13.5 - Prob. 182ECh. 13.5 - Prob. 183ECh. 13.A - Prob. 1ECh. 13.A - Prob. 2ECh. 13.A - Prob. 3ECh. 13.A - Prob. 4ECh. 13.A - Prob. 5ECh. 13.A - Prob. 6ECh. 13.A - Prob. 7ECh. 13.A - Prob. 8ECh. 13.A - Prob. 9ECh. 13.A - Prob. 10ECh. 13.A - Prob. 11ECh. 13.A - Prob. 12ECh. 13.A - Prob. 13ECh. 13.A - Prob. 14ECh. 13.A - Prob. 15ECh. 13.A - Prob. 16ECh. 13.A - Prob. 17ECh. 13.A - Prob. 18ECh. 13.A - Prob. 19ECh. 13.A - Prob. 20ECh. 13.A - Prob. 21ECh. 13.A - Prob. 22ECh. 13.A - Prob. 23ECh. 13.A - Prob. 24ECh. 13.A - Prob. 25ECh. 13.A - Prob. 26ECh. 13.A - Prob. 27ECh. 13.A - Prob. 28ECh. 13.A - Prob. 29ECh. 13.A - Prob. 30ECh. 13 - Prob. 184CECh. 13 - Prob. 185CECh. 13 - Prob. 186CECh. 13 - Prob. 187CECh. 13 - Prob. 188CECh. 13 - Prob. 189CECh. 13 - Prob. 190CECh. 13 - Prob. 191CECh. 13 - Prob. 192CECh. 13 - Prob. 193CECh. 13 - Prob. 194CECh. 13 - Prob. 195CECh. 13 - Prob. 196CECh. 13 - Prob. 197CECh. 13 - Prob. 198CECh. 13 - Prob. 199CECh. 13 - Prob. 200CECh. 13 - Prob. 201CECh. 13 - Prob. 202CECh. 13 - Prob. 203CECh. 13 - Prob. 204CECh. 13 - Prob. 205CECh. 13 - Prob. 206CECh. 13 - Prob. 207CECh. 13 - Prob. 208CECh. 13 - Prob. 209CECh. 13 - Prob. 210CECh. 13 - Prob. 211CECh. 13 - Prob. 212CECh. 13 - Prob. 213CECh. 13 - Prob. 214CECh. 13 - Prob. 215CECh. 13 - Prob. 216CECh. 13 - Prob. 217CECh. 13 - Prob. 218CECh. 13 - Prob. 219CECh. 13 - Prob. 220CECh. 13 - Prob. 221CECh. 13 - Prob. 222CECh. 13 - Prob. 223CECh. 13 - Prob. 224CECh. 13 - Prob. 225CECh. 13 - Prob. 226CECh. 13 - Prob. 227CECh. 13 - Prob. 228CECh. 13 - Prob. 229CECh. 13 - Prob. 230CECh. 13 - Prob. 231CE
Knowledge Booster
Similar questions
- Previous answer was poorly formatedarrow_forwardQuestion: In two large populations, there are 30 and 25 per cent respectively of blue-eyed people. Is this difference likely to be hidden in samples of 1,200 and 900 respectively from the two populations ?arrow_forwardResearchers conducted a prospective cohort study to assess the association between dietary supplements and cognitive ability among children. A total of 500 children age 12-17 years who take an omega-3 fatty acid supplement are compared with 500 children age 12-17 years who do not take an omega-3 fatty acid supplement. Researchers follow the children for 2 years. During this time, 300 children who take the supplement earn what is classified as a “high” score on a cognitive test while 200 children who do not take the supplement earn what is classified as a “high” score on the same cognitive test. Show calculations. a) Construct a 2x2 table from the information presented above b) The risk difference is:arrow_forward
- Many 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_forwardA company is considering an organizational change which entails adopting the use of self-managed work teams which they hope will lead to higher levels of employee satisfaction. In order to assess the attitudes of employees of the company towards this change a sample of 250 employees was selected and asked whether they favor the institution of self-managed teams. Three responses were allowed: favor, neutral or oppose. The observed frequency of the results of the survey are shown below: Opinion Type of Job Favor Neutral Oppose Total Hourly Worker 25 40 35 100 Supervision 45 35 20 100 Manager 20 15 15 50 Total 90 90 70 250 Use this data to test the hypothesis that opinion and type of job are independent at the .025 level.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_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_forwardA 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_forward
- 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.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_forwardQuestion 2 In the past, 15% of the mail order solicitations for a certain charity resulted in a financial contribution. A new solicitation letter that has been drafted is sent to a sample of 200 people and 45 responded with a contribution. At the .05 significance level can it be concluded that the new letter is more effective?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