Elementary Statistics (13th Edition)
13th Edition
ISBN: 9780134462455
Author: Mario F. Triola
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Concept explainers
Videos
Textbook Question
Chapter 7.2, Problem 11BSC
Confidence Intervals. In Exercises 9–24, construct the confidence
11. Mean Body Temperature Data Set 3 “Body Temperatures” in Appendix B includes a sample of 106 body temperatures having a mean of 98.20°F and a standard deviation of 0.62°F. Construct a 95% confidence interval estimate of the mean body temperature for the entire population. What does the result suggest about the common belief that 98.6°F is the mean body temperature?
Expert Solution & Answer
Learn your wayIncludes step-by-step video
schedule03:06
Students have asked these similar questions
Scenario
Sales of products by color follow a peculiar, but predictable, pattern that determines how many units will sell in
any given year. This pattern is shown below
Product Color
1995
1996
1997
Red
28
42
21
1998
23
1999
29
2000
2001
2002
Unit Sales
2003 2004
15
8
4
2
1
2005 2006
discontinued
Green
26
39
20
22
28
14
7
4
2
White
43
65
33
36
45
23
12
Brown
58
87
44
48
60
Yellow
37
56
28
31
Black
28
42
21
Orange
19
29
Purple
Total
28
42
21
49
68
78
95
123
176
181
164
127
24
179
Questions
A) Which color will sell the most units in 2007?
B) Which color will sell the most units combined in the 2007 to 2009 period?
Please show all your analysis, leave formulas in cells, and specify any assumptions you make.
One hundred students were surveyed about their preference between dogs and cats. The following two-way table displays data for the sample of students who responded to the survey.
Preference
Male
Female
TOTAL
Prefers dogs
\[36\]
\[20\]
\[56\]
Prefers cats
\[10\]
\[26\]
\[36\]
No preference
\[2\]
\[6\]
\[8\]
TOTAL
\[48\]
\[52\]
\[100\]
problem 1
Find the probability that a randomly selected student prefers dogs.Enter your answer as a fraction or decimal.
\[P\left(\text{prefers dogs}\right)=\]
Incorrect
Check
Hide explanation
Preference
Male
Female
TOTAL
Prefers dogs
\[\blueD{36}\]
\[\blueD{20}\]
\[\blueE{56}\]
Prefers cats
\[10\]
\[26\]
\[36\]
No preference
\[2\]
\[6\]
\[8\]
TOTAL
\[48\]
\[52\]
\[100\]
There were \[\blueE{56}\] students in the sample who preferred dogs out of \[100\] total students.
Business discuss
Chapter 7 Solutions
Elementary Statistics (13th Edition)
Ch. 7.1 - Poll Results in the Media USA Today provided...Ch. 7.1 - Margin of Error For the poll described in Exercise...Ch. 7.1 - Notation For the poll described in Exercise 1,...Ch. 7.1 - Confidence Levels Given specific sample data, such...Ch. 7.1 - Finding Critical Values. In Exercises 58, find the...Ch. 7.1 - Finding Critical Values. In Exercises 58, find the...Ch. 7.1 - Finding Critical Values. In Exercises 58, find the...Ch. 7.1 - Finding Critical Values. In Exercises 58, find the...Ch. 7.1 - Formats of Confidence Intervals. In Exercises 912,...Ch. 7.1 - Formats of Confidence Intervals. In Exercises 912,...
Ch. 7.1 - Formats of Confidence Intervals. In Exercises 912,...Ch. 7.1 - Formats of Confidence Intervals. In Exercises 912,...Ch. 7.1 - Constructing and Interpreting Confidence...Ch. 7.1 - Constructing and Interpreting Confidence...Ch. 7.1 - Constructing and Interpreting Confidence...Ch. 7.1 - Constructing and Interpreting Confidence...Ch. 7.1 - Critical Thinking. In Exercises 1728, use the data...Ch. 7.1 - Critical Thinking. In Exercises 1728, use the data...Ch. 7.1 - Critical Thinking. In Exercises 1728, use the data...Ch. 7.1 - Critical Thinking. In Exercises 1728, use the data...Ch. 7.1 - Touch Therapy When she was 9 years of age, Emily...Ch. 7.1 - Critical Thinking. In Exercises 1728, use the data...Ch. 7.1 - Critical Thinking. In Exercises 1728, use the data...Ch. 7.1 - Critical Thinking. In Exercises 1728, use the data...Ch. 7.1 - Critical Thinking. In Exercises 1728, use the data...Ch. 7.1 - Critical Thinking. In Exercises 1728, use the data...Ch. 7.1 - Critical Thinking. In Exercises 1728, use the data...Ch. 7.1 - Critical Thinking. In Exercises 1728, use the data...Ch. 7.1 - Using Appendix B Data Sets. In Exercises 29 and...Ch. 7.1 - Using Appendix B Data Sets. In Exercises 29 and...Ch. 7.1 - Determining Sample Size. In Exercises 3138, use...Ch. 7.1 - Determining Sample Size. In Exercises 3138, use...Ch. 7.1 - Determining Sample Size. In Exercises 3138, use...Ch. 7.1 - Determining Sample Size. In Exercises 3138, use...Ch. 7.1 - Determining Sample Size. In Exercises 3138, use...Ch. 7.1 - Determining Sample Size. In Exercises 3138, use...Ch. 7.1 - Determining Sample Size. In Exercises 3138, use...Ch. 7.1 - Determining Sample Size. In Exercises 3138, use...Ch. 7.1 - Finite Population Correction Factor For Formulas...Ch. 7.1 - One-Sided Confidence Interval A one-sided claim...Ch. 7.1 - Coping with No Success According to the Rule of...Ch. 7.2 - In Exercises 13, refer to the accompanying screen...Ch. 7.2 - Statistical Literacy and Critical Thinking In...Ch. 7.2 - In Exercises 13, refer to the accompanying screen...Ch. 7.2 - Normality Requirement What does it mean when we...Ch. 7.2 - Using Correct Distribution. In Exercises 58,...Ch. 7.2 - Using Correct Distribution. In Exercises 58,...Ch. 7.2 - Using Correct Distribution. In Exercises 58,...Ch. 7.2 - Using Correct Distribution. In Exercises 58,...Ch. 7.2 - Confidence Intervals. In Exercises 924, construct...Ch. 7.2 - Confidence Intervals. In Exercises 924, construct...Ch. 7.2 - Confidence Intervals. In Exercises 924, construct...Ch. 7.2 - Confidence Intervals. In Exercises 924, construct...Ch. 7.2 - Confidence Intervals. In Exercises 924, construct...Ch. 7.2 - Confidence Intervals. In Exercises 924, construct...Ch. 7.2 - Confidence Intervals. In Exercises 924, construct...Ch. 7.2 - Confidence Intervals. In Exercises 924, construct...Ch. 7.2 - Confidence Intervals. In Exercises 924, construct...Ch. 7.2 - Confidence Intervals. In Exercises 924, construct...Ch. 7.2 - Confidence Intervals. In Exercises 924, construct...Ch. 7.2 - Confidence Intervals. In Exercises 924, construct...Ch. 7.2 - Confidence Intervals. In Exercises 924, construct...Ch. 7.2 - Confidence Intervals. In Exercises 924, construct...Ch. 7.2 - Confidence Intervals. In Exercises 924, construct...Ch. 7.2 - Confidence Intervals. In Exercises 924, construct...Ch. 7.2 - Appendix B Data Sets. In Exercises 2528, use the...Ch. 7.2 - Appendix B Data Sets. In Exercises 2528, use the...Ch. 7.2 - Appendix B Data Sets. In Exercises 2528, use the...Ch. 7.2 - Appendix B Data Sets. In Exercises 2528, use the...Ch. 7.2 - Sample Size. In Exercises 2936, find the sample...Ch. 7.2 - Sample Size. In Exercises 2936, find the sample...Ch. 7.2 - Sample Size. In Exercises 2936, find the sample...Ch. 7.2 - Sample Size. In Exercises 2936, find the sample...Ch. 7.2 - Sample Size. In Exercises 2936, find the sample...Ch. 7.2 - Sample Size. In Exercises 2936, find the sample...Ch. 7.2 - Sample Size. In Exercises 2936, find the sample...Ch. 7.2 - Sample Size. In Exercises 2936, find the sample...Ch. 7.2 - Confidence Interval with Known . In Exercises 37...Ch. 7.2 - Confidence Interval with Known . In Exercises 37...Ch. 7.2 - Finite Population Correction Factor If a simple...Ch. 7.3 - Brain Volume Using all of the brain volumes listed...Ch. 7.3 - Expressing Confidence Intervals Example 2 showed...Ch. 7.3 - Last Digit Analysis The dotplot below depicts the...Ch. 7.3 - Normality Requirement What is different about the...Ch. 7.3 - Finding Critical Values and Confidence Intervals....Ch. 7.3 - Finding Critical Values and Confidence Intervals....Ch. 7.3 - Finding Critical Values and Confidence Intervals....Ch. 7.3 - Finding Critical Values and Confidence Intervals....Ch. 7.3 - Finding Confidence Intervals. In Exercises 916,...Ch. 7.3 - Finding Confidence Intervals. In Exercises 916,...Ch. 7.3 - Finding Confidence Intervals. In Exercises 916,...Ch. 7.3 - Finding Confidence Intervals. In Exercises 916,...Ch. 7.3 - Finding Confidence Intervals. In Exercises 916,...Ch. 7.3 - Finding Confidence Intervals. In Exercises 916,...Ch. 7.3 - Finding Confidence Intervals. In Exercises 916,...Ch. 7.3 - Comparing Waiting Lines a. The values listed below...Ch. 7.3 - Large Data Sets from Appendix B. In Exercises 17...Ch. 7.3 - Large Data Sets from Appendix B. In Exercises 17...Ch. 7.3 - Determining Sample Size. In Exercises 1922, assume...Ch. 7.3 - Determining Sample Size. In Exercises 1922, assume...Ch. 7.3 - Determining Sample Size. In Exercises 1922, assume...Ch. 7.3 - Determining Sample Size. In Exercises 1922, assume...Ch. 7.3 - Finding Critical Values In constructing confidence...Ch. 7.3 - Finding Sample Size Instead of using Table 7-2 for...Ch. 7.4 - Replacement Why does the bootstrap method require...Ch. 7.4 - Bootstrap Sample Here is a random sample of...Ch. 7.4 - Bootstrap Sample Given the sample data from...Ch. 7.4 - Prob. 4BSCCh. 7.4 - In Exercises 58, use the relatively small number...Ch. 7.4 - In Exercises 58, use the relatively small number...Ch. 7.4 - In Exercises 58, use the relatively small number...Ch. 7.4 - In Exercises 58, use the relatively small number...Ch. 7 - Celebrities and the Law Here is a 95% confidence...Ch. 7 - Interpreting CI Write a brief statement that...Ch. 7 - Critical Value For the survey described in...Ch. 7 - Loose Change USA Today reported that 40% of people...Ch. 7 - Sample Size for Proportion Find the sample size...Ch. 7 - Sample Size for Mean Find the sample size required...Ch. 7 - Requirements A quality control analyst has...Ch. 7 - Degrees of Freedom In general, what does degrees...Ch. 7 - Critical Value Refer to Exercise 7 Requirements...Ch. 7 - Which Method? Refer to Exercise 7 Requirements and...Ch. 7 - Online News In a Harris poll of 2036 adults, 40%...Ch. 7 - Computers In order to better plan for student...Ch. 7 - Earthquake Magnitudes Listed below are Richter...Ch. 7 - Lefties There have been several studies conducted...Ch. 7 - Distributions Identify the distribution (normal,...Ch. 7 - Sample Size You have been hired by your new...Ch. 7 - Wristwatch Accuracy Students of the author...Ch. 7 - Wristwatch Accuracy Use the sample data from...Ch. 7 - Flight Arrivals. Listed below are the arrival...Ch. 7 - Flight Arrivals. Listed below are the arrival...Ch. 7 - Flight Arrivals. Listed below are the arrival...Ch. 7 - Flight Arrivals. Listed below are the arrival...Ch. 7 - Normal Distribution Using a larger data set than...Ch. 7 - Sample Size Find the sample size necessary to...Ch. 7 - Prob. 7CRECh. 7 - Normality Assessment A random sample consists of...Ch. 7 - Critical Thinking: What does the survey tell us?...Ch. 7 - Critical Thinking: What does the survey tell us?...Ch. 7 - Critical Thinking: What does the survey tell us?...Ch. 7 - Critical Thinking: What does the survey tell us?...Ch. 7 - Critical Thinking: What does the survey tell us?...
Additional Math Textbook Solutions
Find more solutions based on key concepts
The product. 12×9×12×10
Pre-Algebra Student Edition
Fill in each blank so that the resulting statement is true. If n is a counting number, bn, read ______, indicat...
College Algebra (7th Edition)
Violins Professional musicians listened to five violins being played, without seeing the instruments. One violi...
Introductory Statistics
A child has 12 blocks, of which 6 are black, 4 are red, 1 is white, and 1 is blue. If the child puts the blocks...
A First Course in Probability (10th Edition)
Alternating Series Test Determine whether the following series converge. 15. k=1(1)k+1k3
Calculus: Early Transcendentals (2nd Edition)
Fill in each blank so that the resulting statement is true. Any set of ordered pairs is called a/an ____.The se...
Algebra and Trigonometry (6th 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
- You have been hired as an intern to run analyses on the data and report the results back to Sarah; the five questions that Sarah needs you to address are given below. Does there appear to be a positive or negative relationship between price and screen size? Use a scatter plot to examine the relationship. Determine and interpret the correlation coefficient between the two variables. In your interpretation, discuss the direction of the relationship (positive, negative, or zero relationship). Also discuss the strength of the relationship. Estimate the relationship between screen size and price using a simple linear regression model and interpret the estimated coefficients. (In your interpretation, tell the dollar amount by which price will change for each unit of increase in screen size). Include the manufacturer dummy variable (Samsung=1, 0 otherwise) and estimate the relationship between screen size, price and manufacturer dummy as a multiple linear regression model. Interpret the…arrow_forwardDoes there appear to be a positive or negative relationship between price and screen size? Use a scatter plot to examine the relationship. How to take snapshots: if you use a MacBook, press Command+ Shift+4 to take snapshots. If you are using Windows, use the Snipping Tool to take snapshots. Question 1: Determine and interpret the correlation coefficient between the two variables. In your interpretation, discuss the direction of the relationship (positive, negative, or zero relationship). Also discuss the strength of the relationship. Value of correlation coefficient: Direction of the relationship (positive, negative, or zero relationship): Strength of the relationship (strong/moderate/weak): Question 2: Estimate the relationship between screen size and price using a simple linear regression model and interpret the estimated coefficients. In your interpretation, tell the dollar amount by which price will change for each unit of increase in screen size. (The answer for the…arrow_forwardIn this problem, we consider a Brownian motion (W+) t≥0. We consider a stock model (St)t>0 given (under the measure P) by d.St 0.03 St dt + 0.2 St dwt, with So 2. We assume that the interest rate is r = 0.06. The purpose of this problem is to price an option on this stock (which we name cubic put). This option is European-type, with maturity 3 months (i.e. T = 0.25 years), and payoff given by F = (8-5)+ (a) Write the Stochastic Differential Equation satisfied by (St) under the risk-neutral measure Q. (You don't need to prove it, simply give the answer.) (b) Give the price of a regular European put on (St) with maturity 3 months and strike K = 2. (c) Let X = S. Find the Stochastic Differential Equation satisfied by the process (Xt) under the measure Q. (d) Find an explicit expression for X₁ = S3 under measure Q. (e) Using the results above, find the price of the cubic put option mentioned above. (f) Is the price in (e) the same as in question (b)? (Explain why.)arrow_forward
- Problem 4. Margrabe formula and the Greeks (20 pts) In the homework, we determined the Margrabe formula for the price of an option allowing you to swap an x-stock for a y-stock at time T. For stocks with initial values xo, yo, common volatility σ and correlation p, the formula was given by Fo=yo (d+)-x0Þ(d_), where In (±² Ꭲ d+ õ√T and σ = σ√√√2(1 - p). дго (a) We want to determine a "Greek" for ỡ on the option: find a formula for θα (b) Is дго θα positive or negative? (c) We consider a situation in which the correlation p between the two stocks increases: what can you say about the price Fo? (d) Assume that yo< xo and p = 1. What is the price of the option?arrow_forwardWe consider a 4-dimensional stock price model given (under P) by dẴ₁ = µ· Xt dt + йt · ΣdŴt where (W) is an n-dimensional Brownian motion, π = (0.02, 0.01, -0.02, 0.05), 0.2 0 0 0 0.3 0.4 0 0 Σ= -0.1 -4a За 0 0.2 0.4 -0.1 0.2) and a E R. We assume that ☑0 = (1, 1, 1, 1) and that the interest rate on the market is r = 0.02. (a) Give a condition on a that would make stock #3 be the one with largest volatility. (b) Find the diversification coefficient for this portfolio as a function of a. (c) Determine the maximum diversification coefficient d that you could reach by varying the value of a? 2arrow_forwardQuestion 1. Your manager asks you to explain why the Black-Scholes model may be inappro- priate for pricing options in practice. Give one reason that would substantiate this claim? Question 2. We consider stock #1 and stock #2 in the model of Problem 2. Your manager asks you to pick only one of them to invest in based on the model provided. Which one do you choose and why ? Question 3. Let (St) to be an asset modeled by the Black-Scholes SDE. Let Ft be the price at time t of a European put with maturity T and strike price K. Then, the discounted option price process (ert Ft) t20 is a martingale. True or False? (Explain your answer.) Question 4. You are considering pricing an American put option using a Black-Scholes model for the underlying stock. An explicit formula for the price doesn't exist. In just a few words (no more than 2 sentences), explain how you would proceed to price it. Question 5. We model a short rate with a Ho-Lee model drt = ln(1+t) dt +2dWt. Then the interest rate…arrow_forward
- In this problem, we consider a Brownian motion (W+) t≥0. We consider a stock model (St)t>0 given (under the measure P) by d.St 0.03 St dt + 0.2 St dwt, with So 2. We assume that the interest rate is r = 0.06. The purpose of this problem is to price an option on this stock (which we name cubic put). This option is European-type, with maturity 3 months (i.e. T = 0.25 years), and payoff given by F = (8-5)+ (a) Write the Stochastic Differential Equation satisfied by (St) under the risk-neutral measure Q. (You don't need to prove it, simply give the answer.) (b) Give the price of a regular European put on (St) with maturity 3 months and strike K = 2. (c) Let X = S. Find the Stochastic Differential Equation satisfied by the process (Xt) under the measure Q. (d) Find an explicit expression for X₁ = S3 under measure Q. (e) Using the results above, find the price of the cubic put option mentioned above. (f) Is the price in (e) the same as in question (b)? (Explain why.)arrow_forwardThe managing director of a consulting group has the accompanying monthly data on total overhead costs and professional labor hours to bill to clients. Complete parts a through c. Question content area bottom Part 1 a. Develop a simple linear regression model between billable hours and overhead costs. Overhead Costsequals=212495.2212495.2plus+left parenthesis 42.4857 right parenthesis42.485742.4857times×Billable Hours (Round the constant to one decimal place as needed. Round the coefficient to four decimal places as needed. Do not include the $ symbol in your answers.) Part 2 b. Interpret the coefficients of your regression model. Specifically, what does the fixed component of the model mean to the consulting firm? Interpret the fixed term, b 0b0, if appropriate. Choose the correct answer below. A. The value of b 0b0 is the predicted billable hours for an overhead cost of 0 dollars. B. It is not appropriate to interpret b 0b0, because its value…arrow_forwardUsing the accompanying Home Market Value data and associated regression line, Market ValueMarket Valueequals=$28,416+$37.066×Square Feet, compute the errors associated with each observation using the formula e Subscript ieiequals=Upper Y Subscript iYiminus−ModifyingAbove Upper Y with caret Subscript iYi and construct a frequency distribution and histogram. LOADING... Click the icon to view the Home Market Value data. Question content area bottom Part 1 Construct a frequency distribution of the errors, e Subscript iei. (Type whole numbers.) Error Frequency minus−15 comma 00015,000less than< e Subscript iei less than or equals≤minus−10 comma 00010,000 0 minus−10 comma 00010,000less than< e Subscript iei less than or equals≤minus−50005000 5 minus−50005000less than< e Subscript iei less than or equals≤0 21 0less than< e Subscript iei less than or equals≤50005000 9…arrow_forward
- The managing director of a consulting group has the accompanying monthly data on total overhead costs and professional labor hours to bill to clients. Complete parts a through c Overhead Costs Billable Hours345000 3000385000 4000410000 5000462000 6000530000 7000545000 8000arrow_forwardUsing the accompanying Home Market Value data and associated regression line, Market ValueMarket Valueequals=$28,416plus+$37.066×Square Feet, compute the errors associated with each observation using the formula e Subscript ieiequals=Upper Y Subscript iYiminus−ModifyingAbove Upper Y with caret Subscript iYi and construct a frequency distribution and histogram. Square Feet Market Value1813 911001916 1043001842 934001814 909001836 1020002030 1085001731 877001852 960001793 893001665 884001852 1009001619 967001690 876002370 1139002373 1131001666 875002122 1161001619 946001729 863001667 871001522 833001484 798001589 814001600 871001484 825001483 787001522 877001703 942001485 820001468 881001519 882001518 885001483 765001522 844001668 909001587 810001782 912001483 812001519 1007001522 872001684 966001581 86200arrow_forwarda. Find the value of A.b. Find pX(x) and py(y).c. Find pX|y(x|y) and py|X(y|x)d. Are x and y independent? Why or why not?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