Introductory Statistics (10th Edition)
10th Edition
ISBN: 9780321989178
Author: Neil A. Weiss
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Concept explainers
Videos
Textbook Question
Chapter 8.1, Problem 11E
In each of Exercises 8.11–8.16, we provide a sample mean,
- a. Find a 95% confidence interval for the population mean. (Note: You may want to review Example 8.2, which begins on page 333.)
- b. Identify and interpret the margin of error.
- c. Express the endpoints of the confidence interval in terms of the point estimate and the margin of error.
8.11
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
Find binomial probability if:
x = 8, n = 10, p = 0.7
x= 3, n=5, p = 0.3
x = 4, n=7, p = 0.6
Quality Control: A factory produces light bulbs with a 2% defect rate. If a random sample of 20 bulbs is tested, what is the probability that exactly 2 bulbs are defective? (hint: p=2% or 0.02; x =2, n=20; use the same logic for the following problems)
Marketing Campaign: A marketing company sends out 1,000 promotional emails. The probability of any email being opened is 0.15. What is the probability that exactly 150 emails will be opened? (hint: total emails or n=1000, x =150)
Customer Satisfaction: A survey shows that 70% of customers are satisfied with a new product. Out of 10 randomly selected customers, what is the probability that at least 8 are satisfied? (hint: One of the keyword in this question is “at least 8”, it is not “exactly 8”, the correct formula for this should be = 1- (binom.dist(7, 10, 0.7, TRUE)). The part in the princess will give you the probability of seven and less than…
please answer these questions
Selon une économiste d’une société financière, les dépenses moyennes pour « meubles et appareils de maison » ont été moins importantes pour les ménages de la région de Montréal, que celles de la région de Québec.
Un échantillon aléatoire de 14 ménages pour la région de Montréal et de 16 ménages pour la région Québec est tiré et donne les données suivantes, en ce qui a trait aux dépenses pour ce secteur d’activité économique.
On suppose que les données de chaque population sont distribuées selon une loi normale.
Nous sommes intéressé à connaitre si les variances des populations sont égales.a) Faites le test d’hypothèse sur deux variances approprié au seuil de signification de 1 %. Inclure les informations suivantes :
i. Hypothèse / Identification des populationsii. Valeur(s) critique(s) de Fiii. Règle de décisioniv. Valeur du rapport Fv. Décision et conclusion
b) A partir des résultats obtenus en a), est-ce que l’hypothèse d’égalité des variances pour cette…
Chapter 8 Solutions
Introductory Statistics (10th Edition)
Ch. 8.1 - The value of a statistic used to estimate a...Ch. 8.1 - What is a confidence-interval estimate of a...Ch. 8.1 - Prob. 3ECh. 8.1 - Prob. 4ECh. 8.1 - Prob. 5ECh. 8.1 - Suppose that you lake 500 simple random samples...Ch. 8.1 - Prob. 7ECh. 8.1 - A simple random sample is taken from a population...Ch. 8.1 - Refer to Exercise 8.7 and find a point estimate...Ch. 8.1 - Prob. 10E
Ch. 8.1 - In each of Exercises 8.118.16, we provide a sample...Ch. 8.1 - Prob. 12ECh. 8.1 - In each of Exercises 8.118.16, we provide a sample...Ch. 8.1 - Prob. 14ECh. 8.1 - Prob. 15ECh. 8.1 - Prob. 16ECh. 8.1 - Wedding Costs. According to Brides Magazine,...Ch. 8.1 - Cottonmouth Litter Size. In the article The...Ch. 8.1 - Wedding Costs. Refer to Exercise 8.17. Assume that...Ch. 8.1 - Cottonmouth Litter Size. Refer to Exercise 8.18....Ch. 8.1 - Fuel Tank Capacity. Consumer Reports provides...Ch. 8.1 - Home Improvements. The American Express Retail...Ch. 8.1 - Giant Tarantulas. A tarantula has two body parts....Ch. 8.1 - Serum Cholesterol Levels. In formation on serum...Ch. 8.1 - Prob. 25ECh. 8.1 - New Mobile Homes. Refer to Examples 8.1 and 8.2....Ch. 8.2 - Find the confidence level and for a. a 90%...Ch. 8.2 - Find the confidence level and for a. an 85%...Ch. 8.2 - What is meant by saying that a 1 confidence...Ch. 8.2 - Prob. 30ECh. 8.2 - Prob. 31ECh. 8.2 - Refer to Procedure 8.1. a. Explain in detail the...Ch. 8.2 - Prob. 33ECh. 8.2 - Prob. 34ECh. 8.2 - Prob. 35ECh. 8.2 - In each of Exercises 8.348.39, assume that the...Ch. 8.2 - In each of Exercises 8.348.39, assume that the...Ch. 8.2 - In each of Exercises 8.348.39, assume that the...Ch. 8.2 - In each of Exercises 8.348.39, assume that the...Ch. 8.2 - Prob. 40ECh. 8.2 - Prob. 41ECh. 8.2 - Suppose that you will be taking a random sample...Ch. 8.2 - Prob. 43ECh. 8.2 - Prob. 44ECh. 8.2 - In each of Exercises 8.458.48, explain the effect...Ch. 8.2 - Prob. 46ECh. 8.2 - In each of Exercises 8.458.48, explain the effect...Ch. 8.2 - In each of Exercises 8.458.48, explain the effect...Ch. 8.2 - Prob. 49ECh. 8.2 - A confidence interval for a population mean has a...Ch. 8.2 - A confidence interval for a population mean has...Ch. 8.2 - Prob. 52ECh. 8.2 - Prob. 53ECh. 8.2 - In each of Exercises 8.538.60, answer true or...Ch. 8.2 - Prob. 55ECh. 8.2 - In each of Exercises 8.538.60, answer true or...Ch. 8.2 - Prob. 57ECh. 8.2 - In each of Exercises 8.538.60, answer true or...Ch. 8.2 - In each of Exercises 8.538.60, answer true or...Ch. 8.2 - In each of Exercises 8.538.60, answer true or...Ch. 8.2 - Formula 8.2 on page 344 provides a method for...Ch. 8.2 - Prob. 62ECh. 8.2 - Prob. 63ECh. 8.2 - In each of Exercises 8.638.68, we provide a sample...Ch. 8.2 - Prob. 65ECh. 8.2 - In each of Exercises 8.638.68, we provide a sample...Ch. 8.2 - In each of Exercises 8.638.68, we provide a sample...Ch. 8.2 - In each of Exercises 8.638.68, we provide a sample...Ch. 8.2 - Preliminary data analyses indicate that you can...Ch. 8.2 - Preliminary data analyses indicate that you can...Ch. 8.2 - Preliminary data analyses indicate that you can...Ch. 8.2 - Preliminary data analyses indicate that you can...Ch. 8.2 - Preliminary data analyses indicate that you can...Ch. 8.2 - Preliminary data analyses indicate that you can...Ch. 8.2 - Prob. 75ECh. 8.2 - Prob. 76ECh. 8.2 - Medical Marijuana. An issue with legalization of...Ch. 8.2 - Prob. 78ECh. 8.2 - Medical Marijuana. Refer to Exercise 8.77. a....Ch. 8.2 - American Alligators. Refer to Exercise 8.78. a....Ch. 8.2 - Medical Marijuana. Refer to Exercise 8.77. a. The...Ch. 8.2 - Prob. 82ECh. 8.2 - Prob. 83ECh. 8.2 - Prob. 84ECh. 8.2 - Pulmonary Hypertension. In the paper Persistent...Ch. 8.2 - Fuel Expenditures. In estimating the mean monthly...Ch. 8.2 - Prob. 87ECh. 8.2 - Prob. 88ECh. 8.2 - Political Prisoners. In Exercise 8.73, you found a...Ch. 8.2 - Keep on Rolling. In Exercise 8.74, you found a 99%...Ch. 8.2 - Prob. 91ECh. 8.2 - Prob. 92ECh. 8.2 - Doing Time. The U.S. Department of Justice, Office...Ch. 8.2 - Doing Time. The U.S. Department of Justice, Office...Ch. 8.2 - Prob. 95ECh. 8.2 - Prob. 96ECh. 8.2 - Prob. 97ECh. 8.2 - Corporate Farms. The U.S. Census Bureau estimates...Ch. 8.2 - Body Temperature. A study by researchers at the...Ch. 8.2 - Prob. 100ECh. 8.2 - Clocking the Cheetah. The cheetah (Acinonyx...Ch. 8.2 - Prob. 103ECh. 8.2 - Prob. 104ECh. 8.2 - Prob. 105ECh. 8.2 - Prob. 106ECh. 8.2 - Toxic Mushrooms? Refer to Exercise 8.71. a....Ch. 8.3 - Why do you need to consider the studentized...Ch. 8.3 - Prob. 109ECh. 8.3 - Prob. 110ECh. 8.3 - Prob. 111ECh. 8.3 - Batting Averages. An issue of Scientific American...Ch. 8.3 - Prob. 113ECh. 8.3 - Two t-curves have degrees of freedom 12 and 20,...Ch. 8.3 - For a t-curve with df = 6, use Table IV to find...Ch. 8.3 - For a t-curve with df = 17, use Table IV to find...Ch. 8.3 - Prob. 117ECh. 8.3 - Prob. 118ECh. 8.3 - Fuel Tank Capacity. Consumer Reports provides...Ch. 8.3 - Prob. 120ECh. 8.3 - Prob. 121ECh. 8.3 - Prob. 122ECh. 8.3 - In each of Exercises 8.1238.128, we provide a...Ch. 8.3 - In each of Exercises 8.1238.128, we provide a...Ch. 8.3 - In each of Exercises 8.1238.128, we provide a...Ch. 8.3 - Prob. 126ECh. 8.3 - Prob. 127ECh. 8.3 - In each of Exercises 8.1238.128, we provide a...Ch. 8.3 - Preliminary data analyses indicate that you can...Ch. 8.3 - Preliminary data analyses indicate that you can...Ch. 8.3 - Sleep. In 1908, W. S. Gosset published the article...Ch. 8.3 - Preliminary data analyses indicate that you can...Ch. 8.3 - Preliminary data analyses indicate that you can...Ch. 8.3 - Preliminary data analyses indicate that you can...Ch. 8.3 - In each of Exercises 8.135-8.138, use the...Ch. 8.3 - Prob. 136ECh. 8.3 - In each of Exercises 8.1358.138, use the...Ch. 8.3 - Prob. 138ECh. 8.3 - The Coruros Burrow. The subterranean coruro...Ch. 8.3 - Forearm Length. In 1903. K Pearson and A. Lee...Ch. 8.3 - Blood Cholesterol and Heart Disease. Numerous...Ch. 8.3 - Bicycle Commuting Times. A city planner working on...Ch. 8.3 - Prob. 143ECh. 8.3 - Prob. 144ECh. 8.3 - Prob. 146ECh. 8.3 - Another type of confidence interval is called a...Ch. 8.3 - Another type of confidence interval is called a...Ch. 8.3 - Prob. 149ECh. 8.3 - Christmas Spending. In a national poll of 1039...Ch. 8 - Explain the difference between a point estimate of...Ch. 8 - Answer true or false to the following statement,...Ch. 8 - Must the variable under consideration be normally...Ch. 8 - Prob. 4RPCh. 8 - Prob. 5RPCh. 8 - Suppose that you intend to find a 95% confidence...Ch. 8 - A confidence interval for a population mean has a...Ch. 8 - Suppose that you plan to apply the one-mean...Ch. 8 - A variable of a population has a mean of 266 and a...Ch. 8 - Baby Weight. The paper Are Babies Normal? by T....Ch. 8 - The following figure shows the standard normal...Ch. 8 - In each of Problems 1217, we have provided a...Ch. 8 - In each of Problems 1217, we have provided a...Ch. 8 - In each of Problems 1217, we have provided a...Ch. 8 - In each of Problems 1217, we have provided a...Ch. 8 - In each of Problems 1217, we have provided a...Ch. 8 - In each of Problems 1217, we have provided a...Ch. 8 - For a t-curve with df = 18, obtain the t-value and...Ch. 8 - Millionaires. Dr. Thomas Stanley of Georgia Slate...Ch. 8 - Millionaires. From Problem 19, we know that a 95%...Ch. 8 - Prison Sentences. Researchers M. Dhami et al....Ch. 8 - Prison Sentences. Refer to Problem 21. a. Find the...Ch. 8 - Children of Diabetic Mothers. The paper...Ch. 8 - Diamond Pricing. In a Singapore edition of...Ch. 8 - Wildfires. Wildfires are uncontrolled fires that...Ch. 8 - Fuel Economy. The U.S. Department of Energy...Ch. 8 - Prob. 28RPCh. 8 - UWEC UNDERGRADUATES Recall from Chapter 1 (see...Ch. 8 - BANK ROBBERIES: A STATISTICAL ANALYSIS At the...
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
- According to an economist from a financial company, the average expenditures on "furniture and household appliances" have been lower for households in the Montreal area than those in the Quebec region. A random sample of 14 households from the Montreal region and 16 households from the Quebec region was taken, providing the following data regarding expenditures in this economic sector. It is assumed that the data from each population are distributed normally. We are interested in knowing if the variances of the populations are equal. a) Perform the appropriate hypothesis test on two variances at a significance level of 1%. Include the following information: i. Hypothesis / Identification of populations ii. Critical F-value(s) iii. Decision rule iv. F-ratio value v. Decision and conclusion b) Based on the results obtained in a), is the hypothesis of equal variances for this socio-economic characteristic measured in these two populations upheld? c) Based on the results obtained in a),…arrow_forwardA major company in the Montreal area, offering a range of engineering services from project preparation to construction execution, and industrial project management, wants to ensure that the individuals who are responsible for project cost estimation and bid preparation demonstrate a certain uniformity in their estimates. The head of civil engineering and municipal services decided to structure an experimental plan to detect if there could be significant differences in project evaluation. Seven projects were selected, each of which had to be evaluated by each of the two estimators, with the order of the projects submitted being random. The obtained estimates are presented in the table below. a) Complete the table above by calculating: i. The differences (A-B) ii. The sum of the differences iii. The mean of the differences iv. The standard deviation of the differences b) What is the value of the t-statistic? c) What is the critical t-value for this test at a significance level of 1%?…arrow_forwardCompute the relative risk of falling for the two groups (did not stop walking vs. did stop). State/interpret your result verbally.arrow_forward
- Microsoft Excel include formulasarrow_forwardQuestion 1 The data shown in Table 1 are and R values for 24 samples of size n = 5 taken from a process producing bearings. The measurements are made on the inside diameter of the bearing, with only the last three decimals recorded (i.e., 34.5 should be 0.50345). Table 1: Bearing Diameter Data Sample Number I R Sample Number I R 1 34.5 3 13 35.4 8 2 34.2 4 14 34.0 6 3 31.6 4 15 37.1 5 4 31.5 4 16 34.9 7 5 35.0 5 17 33.5 4 6 34.1 6 18 31.7 3 7 32.6 4 19 34.0 8 8 33.8 3 20 35.1 9 34.8 7 21 33.7 2 10 33.6 8 22 32.8 1 11 31.9 3 23 33.5 3 12 38.6 9 24 34.2 2 (a) Set up and R charts on this process. Does the process seem to be in statistical control? If necessary, revise the trial control limits. [15 pts] (b) If specifications on this diameter are 0.5030±0.0010, find the percentage of nonconforming bearings pro- duced by this process. Assume that diameter is normally distributed. [10 pts] 1arrow_forward4. (5 pts) Conduct a chi-square contingency test (test of independence) to assess whether there is an association between the behavior of the elderly person (did not stop to talk, did stop to talk) and their likelihood of falling. Below, please state your null and alternative hypotheses, calculate your expected values and write them in the table, compute the test statistic, test the null by comparing your test statistic to the critical value in Table A (p. 713-714) of your textbook and/or estimating the P-value, and provide your conclusions in written form. Make sure to show your work. Did not stop walking to talk Stopped walking to talk Suffered a fall 12 11 Totals 23 Did not suffer a fall | 2 Totals 35 37 14 46 60 Tarrow_forward
- Question 2 Parts manufactured by an injection molding process are subjected to a compressive strength test. Twenty samples of five parts each are collected, and the compressive strengths (in psi) are shown in Table 2. Table 2: Strength Data for Question 2 Sample Number x1 x2 23 x4 x5 R 1 83.0 2 88.6 78.3 78.8 3 85.7 75.8 84.3 81.2 78.7 75.7 77.0 71.0 84.2 81.0 79.1 7.3 80.2 17.6 75.2 80.4 10.4 4 80.8 74.4 82.5 74.1 75.7 77.5 8.4 5 83.4 78.4 82.6 78.2 78.9 80.3 5.2 File Preview 6 75.3 79.9 87.3 89.7 81.8 82.8 14.5 7 74.5 78.0 80.8 73.4 79.7 77.3 7.4 8 79.2 84.4 81.5 86.0 74.5 81.1 11.4 9 80.5 86.2 76.2 64.1 80.2 81.4 9.9 10 75.7 75.2 71.1 82.1 74.3 75.7 10.9 11 80.0 81.5 78.4 73.8 78.1 78.4 7.7 12 80.6 81.8 79.3 73.8 81.7 79.4 8.0 13 82.7 81.3 79.1 82.0 79.5 80.9 3.6 14 79.2 74.9 78.6 77.7 75.3 77.1 4.3 15 85.5 82.1 82.8 73.4 71.7 79.1 13.8 16 78.8 79.6 80.2 79.1 80.8 79.7 2.0 17 82.1 78.2 18 84.5 76.9 75.5 83.5 81.2 19 79.0 77.8 20 84.5 73.1 78.2 82.1 79.2 81.1 7.6 81.2 84.4 81.6 80.8…arrow_forwardName: Lab Time: Quiz 7 & 8 (Take Home) - due Wednesday, Feb. 26 Contingency Analysis (Ch. 9) In lab 5, part 3, you will create a mosaic plot and conducted a chi-square contingency test to evaluate whether elderly patients who did not stop walking to talk (vs. those who did stop) were more likely to suffer a fall in the next six months. I have tabulated the data below. Answer the questions below. Please show your calculations on this or a separate sheet. Did not stop walking to talk Stopped walking to talk Totals Suffered a fall Did not suffer a fall Totals 12 11 23 2 35 37 14 14 46 60 Quiz 7: 1. (2 pts) Compute the odds of falling for each group. Compute the odds ratio for those who did not stop walking vs. those who did stop walking. Interpret your result verbally.arrow_forwardSolve please and thank you!arrow_forward
- 7. In a 2011 article, M. Radelet and G. Pierce reported a logistic prediction equation for the death penalty verdicts in North Carolina. Let Y denote whether a subject convicted of murder received the death penalty (1=yes), for the defendant's race h (h1, black; h = 2, white), victim's race i (i = 1, black; i = 2, white), and number of additional factors j (j = 0, 1, 2). For the model logit[P(Y = 1)] = a + ß₁₂ + By + B²², they reported = -5.26, D â BD = 0, BD = 0.17, BY = 0, BY = 0.91, B = 0, B = 2.02, B = 3.98. (a) Estimate the probability of receiving the death penalty for the group most likely to receive it. [4 pts] (b) If, instead, parameters used constraints 3D = BY = 35 = 0, report the esti- mates. [3 pts] h (c) If, instead, parameters used constraints Σ₁ = Σ₁ BY = Σ; B = 0, report the estimates. [3 pts] Hint the probabilities, odds and odds ratios do not change with constraints.arrow_forwardSolve please and thank you!arrow_forwardSolve please and thank you!arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw Hill
Big Ideas Math A Bridge To Success Algebra 1: Stu...AlgebraISBN:9781680331141Author:HOUGHTON MIFFLIN HARCOURTPublisher:Houghton Mifflin Harcourt
Holt Mcdougal Larson Pre-algebra: Student Edition...AlgebraISBN:9780547587776Author:HOLT MCDOUGALPublisher:HOLT MCDOUGAL
Glencoe Algebra 1, Student Edition, 9780079039897...
Algebra
ISBN:9780079039897
Author:Carter
Publisher:McGraw Hill
Big Ideas Math A Bridge To Success Algebra 1: Stu...
Algebra
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:Houghton Mifflin Harcourt
Holt Mcdougal Larson Pre-algebra: Student Edition...
Algebra
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
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