Statistics (13th Edition)
13th Edition
ISBN: 9780134080215
Author: James T. McClave, Terry T Sincich
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Concept explainers
Question
Chapter 7, Problem 137ACI
a.
To determine
Find the 95% confidence
b.
To determine
Find the 95% confidence interval estimate of the population proportion who take brown-bag lunches and interpret the interval.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solutionStudents have asked these similar questions
Reconsider the patient satisfaction data in Table 1. Fit a multiple regression model using both patient age and
severity as the regressors.
(a) Test for significance of regression.
(b) Test for the individual contribution of the two regressors. Are both regressor variables needed in the model?
(c) Has adding severity to the model improved the quality of the model fit? Explain your answer.
The output voltage of a power supply is assumed to be normally distributed. Sixteen observations taken at
random on voltage are as follows: 10.35, 9.30, 10.00, 9.96, 11.65, 12.00, 11.25, 9.58, 11.54, 9.95, 10.28, 8.37,
10.44, 9.25, 9.38, and 10.85.
(a) Test the hypothesis that the mean voltage equals 12 V against a two-sided alternative using a = 0.05.
(b) Construct a 95% two-sided confidence interval on μ.
(c) Test the hypothesis that σ² = 11 using α = 0.05.
(d) Construct a 95% two-sided confidence interval on σ.
(e) Construct a 95% upper confidence interval on σ.
(f) Does the assumption of normality seem reasonable for the output voltage?
Analyze the residuals from the regression model on the patient satisfaction data from Exercise 3. Comment on
the adequacy of the regression model.
Chapter 7 Solutions
Statistics (13th Edition)
Ch. 7.2 - Define the target parameter.
Ch. 7.2 - What is the confidence coefficient in a 90%...Ch. 7.2 - 6.7 Explain the difference between an interval...Ch. 7.2 - 6.6 Explain what is meant by the statement, “We...Ch. 7.2 - 6.9 Will a large-sample confidence interval be...Ch. 7.2 - What conditions are required to form a valid...Ch. 7.2 - Find zα/2 for each of the following:
α = .10
α =...Ch. 7.2 - What is the confidence level of each of the...Ch. 7.2 - A random sample of n measurements was selected...Ch. 7.2 - 6.4 A random sample of 90 observations produced a...
Ch. 7.2 - A random sample of 100 observations from a...Ch. 7.2 - 6.8 The mean and standard deviation of a random...Ch. 7.2 - Use the applet entitled Confidence Intervals for a...Ch. 7.2 - Use the applet Confidence Intervals for a Mean...Ch. 7.2 - 6.10 Heart rate variability of police officers....Ch. 7.2 - Irrelevant speech effects. Refer to the Acoustical...Ch. 7.2 - Latex allergy in health care workers. Health care...Ch. 7.2 - Lipid profiles of hypertensive patients. People...Ch. 7.2 - Motivation of drug dealers. Refer to the Applied...Ch. 7.2 - Corporate sustainability of CPA firms. Corporate...Ch. 7.2 - Prob. 19ACBCh. 7.2 - Evaporation from swimming pools. A new formula for...Ch. 7.2 - 6.20 Facial structure of CEOs. In Psychological...Ch. 7.2 - 6.16 Shopping on Black Friday. The day after...Ch. 7.2 - Prob. 23ACICh. 7.2 - Prob. 24ACICh. 7.2 - Prob. 25ACICh. 7.2 - Speed training in football. Researchers at...Ch. 7.2 - Prob. 27ACACh. 7.2 - Prob. 28ACACh. 7.3 - State the two problems (and corresponding...Ch. 7.3 - Compare the shapes of the z- and t-distributions.
Ch. 7.3 - 6.24 Explain the differences in the sampling...Ch. 7.3 - Use the applet Confidence Intervals for a Mean...Ch. 7.3 - Use the applet Confidence Intervals for a Mean...Ch. 7.3 - Suppose you have selected a random sample of n = 7...Ch. 7.3 - Let t0 be a specific value of t. Use technology or...Ch. 7.3 - Let t0 be a particular value of t. Use technology...Ch. 7.3 - 6.27 The following random sample was selected from...Ch. 7.3 - 6.28 The following sample of 16 measurements was...Ch. 7.3 - Music performance anxiety. Refer to the British...Ch. 7.3 - Giraffes have excellent vision. Due to habitat,...Ch. 7.3 - Radon exposure in Egyptian tombs. Many ancient...Ch. 7.3 - Rainfall and desert ants. Refer to the Journal of...Ch. 7.3 - 6.29 Lobster trap placement. An observational...Ch. 7.3 - Shell lengths of sea turtles. Refer to the Aquatic...Ch. 7.3 - Duration of daylight in western Pennsylvania. What...Ch. 7.3 - 6.31 Do social robots walk or roll? Refer to the...Ch. 7.3 - Pitch memory of amusiacs. A team of psychologists...Ch. 7.3 - Shaft graves in ancient Greece. Refer to the...Ch. 7.3 - 6.35 Oxygen bubbles in molten salt. Molten salt is...Ch. 7.3 - Prob. 48ACICh. 7.3 - Reproduction of bacteria-infected spider mites....Ch. 7.3 - Antigens for a parasitic roundworm in birds....Ch. 7.3 - Prob. 51ACACh. 7.4 - 6.40 Describe the sampling distribution of based...Ch. 7.4 - Explain the meaning of the phrase “ is an unbiased...Ch. 7.4 - Prob. 54UPCh. 7.4 - Use the applet Confidence Intervals for a...Ch. 7.4 - Use the applet Confidence Intervals for a...Ch. 7.4 - A random sample of size n = 196 yielded .
Is the...Ch. 7.4 - A random sample of size n = 144 yielded .
Is the...Ch. 7.4 - For the binomial sample information summarized in...Ch. 7.4 - A random sample of 50 consumers taste-tested a new...Ch. 7.4 - Paying for music downloads. If you use the...Ch. 7.4 - Interactions in a children’s museum. Refer to the...Ch. 7.4 - Is Starbucks coffee overpriced? The Minneapolis...Ch. 7.4 - Nannies who work for celebrities. The...Ch. 7.4 - National Firearms Survey. Refer to the Harvard...Ch. 7.4 - Are you really being served red snapper? Refer to...Ch. 7.4 - What we do when we are sick at home. USA Today...Ch. 7.4 - Curbing street gang gun violence. Refer to the...Ch. 7.4 - Do social robots walk or roll? Refer to the...Ch. 7.4 - Study of aircraft bird strikes. As worldwide air...Ch. 7.4 - Prob. 69ACICh. 7.4 - Prob. 70ACICh. 7.4 - Prob. 71ACICh. 7.4 - Do you think you smell? If you falsely believe you...Ch. 7.4 - Prob. 73ACACh. 7.5 - How does the sampling error SE compare with the...Ch. 7.5 - True or false. For a specified sampling error SE,...Ch. 7.5 - True or false. For a fixed confidence level (1 −...Ch. 7.5 - Prob. 77LMCh. 7.5 - 6.66 If nothing is known about p. .5 can be...Ch. 7.5 - Suppose you wish to estimate a population mean...Ch. 7.5 - In each case, find the approximate sample size...Ch. 7.5 - The following is a 90% confidence interval for p:...Ch. 7.5 - Prob. 82LMCh. 7.5 - Suppose you wish to estimate the mean of a normal...Ch. 7.5 - Giraffes have excellent vision. Refer to the...Ch. 7.5 - Shaft graves in ancient Greece. Refer to the...Ch. 7.5 - Risk of home burglary in cul-de-sacs. Research...Ch. 7.5 - Prob. 87ACBCh. 7.5 - Aluminum cans contaminated by fire. A gigantic...Ch. 7.5 - Prob. 89ACBCh. 7.5 - Pitch memory of amusiacs. Refer to the Advances in...Ch. 7.5 - Shopping on Black Friday. Refer to the...Ch. 7.5 - Prob. 93ACICh. 7.5 - Prob. 94ACICh. 7.5 - Prob. 95ACICh. 7.5 - Caffeine content of coffee. According to a Food...Ch. 7.5 - Prob. 97ACICh. 7.5 - Preventing production of defective items. It costs...Ch. 7.6 - What sampling distribution is used to find an...Ch. 7.6 - Prob. 100UPCh. 7.6 - Prob. 101UPCh. 7.6 - Prob. 102LMCh. 7.6 - Given the following values of , s, and n, form a...Ch. 7.6 - Prob. 104LMCh. 7.6 - Prob. 105LMCh. 7.6 - Prob. 106ACBCh. 7.6 - Prob. 107ACBCh. 7.6 - Motivation of drug dealers. Refer to the Applied...Ch. 7.6 - Prob. 109ACBCh. 7.6 - Prob. 110ACBCh. 7.6 - Prob. 111ACBCh. 7.6 - Prob. 112ACICh. 7.6 - Prob. 113ACICh. 7.6 - Shell lengths of sea turtles. Refer to the Aquatic...Ch. 7.6 - Prob. 115ACICh. 7.6 - s6.105 Is honey a cough remedy? Refer to the...Ch. 7.6 - Prob. 117ACICh. 7 - Prob. 118UPCh. 7 - Prob. 119UPCh. 7 - In each of the following instances, determine...Ch. 7 - Prob. 121LMCh. 7 - Prob. 122LMCh. 7 - Prob. 123LMCh. 7 - Prob. 124LMCh. 7 - 6.113 General health survey. The Centers for...Ch. 7 - Prob. 126ACBCh. 7 - Prob. 127ACBCh. 7 - Prob. 128ACBCh. 7 - Scanning errors at Wal-Mart. Refer to the National...Ch. 7 - Prob. 130ACBCh. 7 - Assessing the bending strength of a wooden roof....Ch. 7 - Prob. 132ACBCh. 7 - Prob. 133ACBCh. 7 - Prob. 134ACBCh. 7 - Prob. 135ACBCh. 7 - Prob. 136ACBCh. 7 - Prob. 137ACICh. 7 - Prob. 138ACICh. 7 - Prob. 139ACICh. 7 - Prob. 140ACICh. 7 - Prob. 141ACICh. 7 - Prob. 142ACICh. 7 - Prob. 143ACICh. 7 - Prob. 144ACICh. 7 -
Salmonella in ice cream bars. Recently, a case...Ch. 7 - Prob. 146ACICh. 7 - Prob. 147ACICh. 7 - Jitter in a water power system. Jitter is a term...Ch. 7 - Prob. 149ACACh. 7 - Prob. 150ACACh. 7 - Prob. 151CTCCh. 7 - 6.138 A sampling dispute goes to court. Sampling...
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
- Consider the hypotheses: Hop=po H₁ppo where 2 is known. Derive a general expression for determining the sample size for detecting a true mean of 1μo with probability 1-ẞ if the type I error is a.arrow_forwardSuppose we wish to test the hypotheses: Họ : | = 15 H₁: 15 where we know that o² = 9.0. If the true mean is really 20, what sample size must be used to ensure that the probability of type II error is no greater than 0.10? Assume that a = 0.05.arrow_forwardTable 1 contains the data from a patient satisfaction survey for a group of 25 randomly selected patients at a hospital. In addition to satisfaction, data were collected on patient age and an index that measured the severity of illness. (a) Fit a linear regression model relating satisfaction to patient age. (b) Test for significance of regression. (c) What portion of the total variability is accounted for by the regressor variable age? Table 1: Patient Satisfaction Data Severity Observation Age (21) (x2) Satisfaction (y) 1 55 50 2 46 24 3 30 46 4 35 48 5 59 58 6 61 60 7 74 65 8 38 42 9 27 42 10 51 50 11 53 38 12 41 30 13 37 31 88 14 24 34 15 42 30 16 50 48 17 58 61 18 60 71 19 62 62 20 68 38 21 70 41 22 79 66 23 63 31 24 39 42 25 49 40 BE225222222222222222 68 77 96 80 43 44 26 88 75 57 56 88 102 88 70 43 46 56 59 26 83 75arrow_forward
- 14 A survey is conducted to determine whether would prefer to work at home, if given the 20 office employees of a certain company chance. The overall results are shown in the first bar graph, and the results broken down by gender are presented in the second. a. Interpret the results of each graph. b. Discuss the added value in including gen- der in the second bar graph. (The second bar graph in this problem is called a side by side bar graph and is often used to show results broken down by two or more variables.) c. Compare the side by side bar graph with the two pie charts that you made for Question 6. Which of the two methods is best for comparing two groups, in your opinion? A Would you prefer to work at home? (n=20) 60 50 40 Percent 20 30 20 30 10 0 No Yes Prefer to work at home? (10 males, 10 females) 80 Percent 60 00 40 40 20- No Yes No Yes Female Malearrow_forwardFrequency 12 Suppose that a random sample of 270 gradu- ating seniors are asked what their immediate priorities are, including whether buying a house is a priority. The results are shown in the following bar graph. a. The bar graph is misleading; explain why. b. Make a new bar graph that more fairly presents the results. Is Buying a House a Priority? 300 250 200 150 100 50 0 Yes No Undecidedarrow_forwardFrequency 11 A polling organization wants to find out what voters think of Issue X. It chooses a random sample of voters and asks them for their opinions of Issue X: yes, no, or no opinion. I organize the results in the following bar graph. a. Make a frequency table of these results (including the total number). brocb. Evaluate the bar graph as to whether it biz s b fairly represents the results. of beau no STORE TO OW! vd wob spind 550 540 500 vd 480 420 360 300 250 240 Yes No Undecided Opinion on Issue Xarrow_forward
- Percent 13 A car dealer specializing in minivan sales saibe conducts a survey to find out more about who its customers are. One of the variables at the company measures is gender; the results of this part of the survey are shown in the following bar graph. pow a. Interpret these results. b. Explain whether you think the bar graph is a fair and accurate representation of this data. 70 Gender of Customers 60 50 40 30 20 10 0 Males Femalesarrow_forwardThree cat- ency bar 10 Suppose that a health club asks 30 customers ad to rate the services as very good (1), good (2), fair (3), or poor (4). You can see the results in the following bar graph. What percentage of the customers rated the services as good? n; 2: pinion). of this to make a eople in ng ban?) Health Club Customer Ratings (1-very good,..., 4-poor) Frequency 10 8 00 6 11 A polling orga what voters t random samp for their opin no opinion. following ba a. Make a (includ bob. Evalua fairly tral 2 0 1 -2 3 4 540 480 420 360 300 240 Frequencyarrow_forward1 - Multiple Regression Equations and Predictions with XLMiner Analysis ToolPak (Structured) Video The owner of Showtime Movie Theaters, Inc., would like to predict weekly gross revenue as a function of advertising expenditures. Historical data for a sample of eight weeks are entered into the Microsoft Excel Online file below. Use the XLMiner Analysis ToolPak to perform your regression analysis in the designated areas of the spreadsheet. Due to a recent change by Microsoft you will need to open the XLMiner Analysis ToolPak add-in manually from the home ribbon. Screenshot of ToolPak X Open spreadsheet a. Develop an estimated regression equation with the amount of television advertising as the independent variable (to 2 decimals). JAN 27 Revenue = × TVAdv + b. Develop an estimated regression equation with both television advertising and newspaper advertising as the independent variables (to 2 decimals). Revenue = + TVAdy + NewsAdv c. Is the estimated regression equation coefficient for…arrow_forward
- Question 2: When John started his first job, his first end-of-year salary was $82,500. In the following years, he received salary raises as shown in the following table. Fill the Table: Fill the following table showing his end-of-year salary for each year. I have already provided the end-of-year salaries for the first three years. Calculate the end-of-year salaries for the remaining years using Excel. (If you Excel answer for the top 3 cells is not the same as the one in the following table, your formula / approach is incorrect) (2 points) Geometric Mean of Salary Raises: Calculate the geometric mean of the salary raises using the percentage figures provided in the second column named “% Raise”. (The geometric mean for this calculation should be nearly identical to the arithmetic mean. If your answer deviates significantly from the mean, it's likely incorrect. 2 points) Hint for the first part of question 2: To assist you with filling out the table in the first part of the question,…arrow_forwardConsider a sample with data values of 27, 25, 20, 15, 30, 34, 28, and 25. Compute the range, interquartile range, variance, and standard deviation (to a maximum of 2 decimals, if decimals are necessary). Range Interquartile range Variance Standard deviationarrow_forwardPerform a Step by step following tests in Microsoft Excel. Each of the following is 0.5 points, with a total of 6 points. Provide your answers in the following table. Median Standard Deviation Minimum Maximum Range 1st Quartile 2nd Quartile 3rd Quartile Skewness; provide a one sentence explanation of what does the skewness value indicates Kurtosis; provide a one sentence explanation of what does the kurtosis value indicates Make a labelled histogram; no point awarded if it is not labelled Make a labelled boxplot; no point awarded if it is not labelled Data 27 30 22 25 24 22 20 28 20 26 21 23 24 20 28 30 20 28 29 30 21 26 29 25 26 25 20 30 26 28 25 21 22 27 27 24 26 22 29 28 30 22 22 22 30 21 21 30 26 20arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- MATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons IncProbability and Statistics for Engineering and th...StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage LearningStatistics for The Behavioral Sciences (MindTap C...StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage Learning
- Elementary Statistics: Picturing the World (7th E...StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSONThe Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. FreemanIntroduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. Freeman
MATLAB: An Introduction with Applications
Statistics
ISBN:9781119256830
Author:Amos Gilat
Publisher:John Wiley & Sons Inc
Probability and Statistics for Engineering and th...
Statistics
ISBN:9781305251809
Author:Jay L. Devore
Publisher:Cengage Learning
Statistics for The Behavioral Sciences (MindTap C...
Statistics
ISBN:9781305504912
Author:Frederick J Gravetter, Larry B. Wallnau
Publisher:Cengage Learning
Elementary Statistics: Picturing the World (7th E...
Statistics
ISBN:9780134683416
Author:Ron Larson, Betsy Farber
Publisher:PEARSON
The Basic Practice of Statistics
Statistics
ISBN:9781319042578
Author:David S. Moore, William I. Notz, Michael A. Fligner
Publisher:W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:9781319013387
Author:David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:W. H. Freeman
Hypothesis Testing - Solving Problems With Proportions; Author: The Organic Chemistry Tutor;https://www.youtube.com/watch?v=76VruarGn2Q;License: Standard YouTube License, CC-BY
Hypothesis Testing and Confidence Intervals (FRM Part 1 – Book 2 – Chapter 5); Author: Analystprep;https://www.youtube.com/watch?v=vth3yZIUlGQ;License: Standard YouTube License, CC-BY