
Elementary Statistics (13th Edition)
13th Edition
ISBN: 9780134462455
Author: Mario F. Triola
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Concept explainers
Textbook Question
Chapter 8.1, Problem 5BSC
Identifying H0 and H1. In Exercises 5–8, do the following:
a. Express the original claim in symbolic form.
b. Identify the null and alternative hypotheses.
5. Online Data Claim: Most adults would erase all of their personal information online if they could. A GFI Software survey of 565 randomly selected adults showed that 59% of them would erase all of their personal information online if they could.
Expert Solution & Answer

Learn your wayIncludes step-by-step video

schedule01:41
Students have asked these similar 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…
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),…
A 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%?…
Chapter 8 Solutions
Elementary Statistics (13th Edition)
Ch. 8.1 - Vitamin C and Aspirin A bottle contains a label...Ch. 8.1 - Estimates and Hypothesis Tests Data Set 3 Body...Ch. 8.1 - Mean Height of Men A formal hypothesis test is to...Ch. 8.1 - Interpreting P-value The Ericsson method is one of...Ch. 8.1 - Identifying H0 and H1. In Exercises 58, do the...Ch. 8.1 - Identifying H0 and H1. In Exercises 58, do the...Ch. 8.1 - Identifying H0 and H1. In Exercises 58, do the...Ch. 8.1 - Identifying H0 and H1. In Exercises 58, do the...Ch. 8.1 - Conclusions. In Exercises 912, refer to the...Ch. 8.1 - Conclusions. In Exercises 912, refer to the...
Ch. 8.1 - Conclusions. In Exercises 912, refer to the...Ch. 8.1 - Conclusions. In Exercises 912, refer to the...Ch. 8.1 - Test Statistics. In Exercises 1316, refer to the...Ch. 8.1 - Test Statistics. In Exercises 1316, refer to the...Ch. 8.1 - Test Statistics. In Exercises 1316, refer to the...Ch. 8.1 - Test Statistics. In Exercises 1316, refer to the...Ch. 8.1 - P-Values. In Exercises 1720, do the following: a....Ch. 8.1 - P-Values. In Exercises 1720, do the following: a....Ch. 8.1 - P-Values. In Exercises 1720, do the following: a....Ch. 8.1 - P-Values. In Exercises 1720, do the following: a....Ch. 8.1 - Critical Values. In Exercises 2124, refer to the...Ch. 8.1 - Critical Values. In Exercises 2124, refer to the...Ch. 8.1 - Critical Values. In Exercises 2124, refer to the...Ch. 8.1 - Critical Values. In Exercises 2124, refer to the...Ch. 8.1 - Final Conclusions. In Exercises 2528, use a...Ch. 8.1 - Final Conclusions. In Exercises 2528, use a...Ch. 8.1 - Final Conclusions. In Exercises 2528, use a...Ch. 8.1 - Final Conclusions. In Exercises 2528, use a...Ch. 8.1 - Type I and Type II Errors. In Exercises 2932,...Ch. 8.1 - Type I and Type II Errors. In Exercises 2932,...Ch. 8.1 - Type I and Type II Errors. In Exercises 2932,...Ch. 8.1 - Type I and Type II Errors. In Exercises 2932,...Ch. 8.1 - Interpreting Power Chantix (varenicline) tablets...Ch. 8.1 - Calculating Power Consider a hypothesis test of...Ch. 8.1 - Finding Sample Size to Achieve Power Researchers...Ch. 8.2 - In Exercises 14, use these results from a USA...Ch. 8.2 - In Exercises 14, use these results from a USA...Ch. 8.2 - Prob. 3BSCCh. 8.2 - In Exercises 14, use these results from a USA...Ch. 8.2 - Using Technology. In Exercises 58, identify the...Ch. 8.2 - Using Technology. In Exercises 58, identify the...Ch. 8.2 - Using Technology. In Exercises 58, identify the...Ch. 8.2 - Using Technology. In Exercises 58, identify the...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Exact Method For each of the three different...Ch. 8.2 - Using Confidence Intervals to Test Hypotheses When...Ch. 8.2 - Power For a hypothesis test with a specified...Ch. 8.3 - Video Games: Checking Requirements Twelve...Ch. 8.3 - df If we are using the sample data from Exercise 1...Ch. 8.3 - t Test Exercise 2 refers to a t test. What is a t...Ch. 8.3 - Confidence Interval Assume that we will use the...Ch. 8.3 - Finding P-values. In Exercises 5-8, either use...Ch. 8.3 - Finding P-values. In Exercises 5-8, either use...Ch. 8.3 - Finding P-values. In Exercises 5-8, either use...Ch. 8.3 - Finding P-values. In Exercises 5-8, either use...Ch. 8.3 - Technology. In Exercises 9-12, test the given...Ch. 8.3 - Technology. In Exercises 9-12, test the given...Ch. 8.3 - Technology. In Exercises 9-12, test the given...Ch. 8.3 - Technology. In Exercises 9-12, test the given...Ch. 8.3 - Testing Hypotheses. In Exercises 13-24, assume...Ch. 8.3 - Testing Hypotheses. In Exercises 13-24, assume...Ch. 8.3 - Testing Hypotheses. In Exercises 13-24, assume...Ch. 8.3 - Testing Hypotheses. In Exercises 13-24, assume...Ch. 8.3 - Testing Hypotheses. In Exercises 13-24, assume...Ch. 8.3 - Testing Hypotheses. In Exercises 13-24, assume...Ch. 8.3 - Testing Hypotheses. In Exercises 13-24, assume...Ch. 8.3 - Testing Hypotheses. In Exercises 13-24, assume...Ch. 8.3 - Testing Hypotheses. In Exercises 13-24, assume...Ch. 8.3 - Testing Hypotheses. In Exercises 13-24, assume...Ch. 8.3 - Testing Hypotheses. In Exercises 13-24, assume...Ch. 8.3 - Testing Hypotheses. In Exercises 13-24, assume...Ch. 8.3 - Large Data Sets from Appendix B. In Exercises...Ch. 8.3 - Large Data Sets from Appendix B. In Exercises...Ch. 8.3 - Large Data Sets from Appendix B. In Exercises...Ch. 8.3 - Large Data Sets from Appendix B. In Exercises...Ch. 8.3 - Hypothesis Test with Known How do the results...Ch. 8.3 - Hypothesis Test with Known How do the results...Ch. 8.3 - Finding Critical t Values When finding critical...Ch. 8.3 - Interpreting Power For the sample data in Example...Ch. 8.4 - Cans of Coke Data Set 26 Cola Weights and Volumes...Ch. 8.4 - Cans of Coke Use the data and the claim given in...Ch. 8.4 - Cans of Coke For the sample data from Exercise 1,...Ch. 8.4 - Cans of Coke: Confidence Interval If we use the...Ch. 8.4 - Testing Claims About Variation. In Exercises 5-16,...Ch. 8.4 - Testing Claims About Variation. In Exercises 5-16,...Ch. 8.4 - Body Temperature Example 5 in Section 8-3 involved...Ch. 8.4 - Testing Claims About Variation. In Exercises 5-16,...Ch. 8.4 - Testing Claims About Variation. In Exercises 5-16,...Ch. 8.4 - Testing Claims About Variation. In Exercises 5-16,...Ch. 8.4 - Testing Claims About Variation. In Exercises 5-16,...Ch. 8.4 - Testing Claims About Variation. In Exercises 5-16,...Ch. 8.4 - Testing Claims About Variation. In Exercises 5-16,...Ch. 8.4 - Testing Claims About Variation. In Exercises 5-16,...Ch. 8.4 - Testing Claims About Variation. In Exercises 5-16,...Ch. 8.4 - Testing Claims About Variation. In Exercises 5-16,...Ch. 8.4 - Large Data Sets from Appendix B. In Exercises 17...Ch. 8.4 - Large Data Sets from Appendix B. In Exercises 17...Ch. 8.4 - Finding Critical Values of 2 For large numbers of...Ch. 8.4 - Finding Critical Values of 2 Repeat Exercise 19...Ch. 8 - Distributions Using the methods of this chapter,...Ch. 8 - Tails Determine whether the given claim involves a...Ch. 8 - Instagram Poll In a Pew Research Center poll of...Ch. 8 - P-Value Find the P-value in a test of the claim...Ch. 8 - Conclusions True or false: In hypothesis testing,...Ch. 8 - Conclusions True or false: The conclusion of fail...Ch. 8 - Uncertainty True or false: If correct methods of...Ch. 8 - Chi-Square Test In a test of the claim that = 15...Ch. 8 - Robust Explain what is meant by the statements...Ch. 8 - Equivalent Methods Which of the following...Ch. 8 - True/False Characterize each of the following...Ch. 8 - Politics A county clerk in Essex County, New...Ch. 8 - Prob. 3RECh. 8 - Red Blood Cell Count A simple random sample of 40...Ch. 8 - Perception and Reality In a presidential election,...Ch. 8 - BMI for Miss America A claimed trend of thinner...Ch. 8 - BMI for Miss America Use the same BMI indexes...Ch. 8 - Type I Error and Type II Error a. In general, what...Ch. 8 - Lightning Deaths Listed below are the numbers of...Ch. 8 - Lightning Deaths Refer to the sample data in...Ch. 8 - Lightning Deaths Listed below are the numbers of...Ch. 8 - Lightning Deaths Listed below are the numbers of...Ch. 8 - Lightning Deaths The accompanying bar chart shows...Ch. 8 - Lightning Deaths The graph in Cumulative Review...Ch. 8 - Lightning Deaths The graph in Cumulative Review...Ch. 8 - Lightning Deaths Based on the results given in...Ch. 8 - Critical Thinking: Testing the Salk Vaccine The...
Additional Math Textbook Solutions
Find more solutions based on key concepts
Fill in each blanks so that the resulting statement is true. Any set of ordered pairs is called a/an _______. T...
College Algebra (7th Edition)
CHECK POINT I You deposit $1000 in a saving account at a bank that has a rate of 4%. a. Find the amount, A, of ...
Thinking Mathematically (6th Edition)
3. Voluntary Response Sample What is a voluntary response sample, and why is such a sample generally not suitab...
Elementary Statistics
True or False? In Exercises 5–8, determine whether the statement is true or false. If it is false, rewrite it a...
Elementary Statistics: Picturing the World (7th Edition)
A retail establishment accepts either the American Express or the VISA credit card. A total of 24 percent of it...
A First Course in Probability (10th Edition)
Find the volumes of the solids generated by revolving the regions bounded by the lines and curves in Exercises ...
University Calculus: Early Transcendentals (4th Edition)
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
- Compute the relative risk of falling for the two groups (did not stop walking vs. did stop). State/interpret your result verbally.arrow_forwardMicrosoft 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_forward
- 4. (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_forwardQuestion 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_forward
- Solve please and thank you!arrow_forward7. 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_forward
- Solve please and thank you!arrow_forwardQuestion 1:We want to evaluate the impact on the monetary economy for a company of two types of strategy (competitive strategy, cooperative strategy) adopted by buyers.Competitive strategy: strategy characterized by firm behavior aimed at obtaining concessions from the buyer.Cooperative strategy: a strategy based on a problem-solving negotiating attitude, with a high level of trust and cooperation.A random sample of 17 buyers took part in a negotiation experiment in which 9 buyers adopted the competitive strategy, and the other 8 the cooperative strategy. The savings obtained for each group of buyers are presented in the pdf that i sent: For this problem, we assume that the samples are random and come from two normal populations of unknown but equal variances.According to the theory, the average saving of buyers adopting a competitive strategy will be lower than that of buyers adopting a cooperative strategy.a) Specify the population identifications and the hypotheses H0 and H1…arrow_forwardYou assume that the annual incomes for certain workers are normal with a mean of $28,500 and a standard deviation of $2,400. What’s the chance that a randomly selected employee makes more than $30,000?What’s the chance that 36 randomly selected employees make more than $30,000, on average?arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- Big Ideas Math A Bridge To Success Algebra 1: Stu...AlgebraISBN:9781680331141Author:HOUGHTON MIFFLIN HARCOURTPublisher:Houghton Mifflin HarcourtHolt Mcdougal Larson Pre-algebra: Student Edition...AlgebraISBN:9780547587776Author:HOLT MCDOUGALPublisher:HOLT MCDOUGALCollege Algebra (MindTap Course List)AlgebraISBN:9781305652231Author:R. David Gustafson, Jeff HughesPublisher:Cengage Learning
- Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher: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

College Algebra (MindTap Course List)
Algebra
ISBN:9781305652231
Author:R. David Gustafson, Jeff Hughes
Publisher:Cengage Learning


Glencoe Algebra 1, Student Edition, 9780079039897...
Algebra
ISBN:9780079039897
Author:Carter
Publisher:McGraw Hill

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