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Elementary Statistics: Picturing the World – 8th Edition by Larson | Complete Solutions Manual

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Complete Solutions Manual for Elementary Statistics: Picturing the World, 8th edition 8th Edition by Ron Larson. ISBN-13: 3470 Full Chapters Solutions are included I. DESCRIPTIVE STATISTICS Introduction to Statistics 1.1 An Overview of Statistics  1.2 Data Classification  1.3 Data Collection and Experimental Design  Descriptive Statistics  2.1 Frequency Distributions and Their Graphs  2.2 More Graphs and Displays  2.3 Measures of Central Tendency  2.4 Measures of Variation  2.5 Measures of Position  Cumulative Review: Chapters 1 & 2 II. PROBABILITY AND PROBABILITY DISTRIBUTIONS Probability  3.1 Basic Concepts of Probability and Counting  3.2 Conditional Probability and the Multiplication Rule  3.3 The Addition Rule  3.4 Additional Topics in Probability and Counting  Discrete Probability Distributions  4.1 Probability Distributions  4.2 Binomial Distributions  4.3 More Discrete Probability Distributions  Normal Probability Distributions  5.1 Introduction to Normal Distributions and the Standard Normal Distribution  5.2 Normal Distributions: Finding Probabilities  5.3 Normal Distributions: Finding Values  5.4 Sampling Distributions and the Central Limit Theorem 5.5 Normal Approximations to Binomial Distributions  Cumulative Review: Chapters 3-5 III. STATISTICAL INFERENCE Confidence Intervals 6.1 Confidence Intervals for the Mean (Known)  6.2 Confidence Intervals for the Mean (Unknown)  6.3 Confidence Intervals for Population Proportions  6.4 Confidence Intervals for Variance and Standard Deviation  Hypothesis Testing with One Sample 7.1 Introduction to Hypothesis Testing  7.2 Hypothesis Testing for the Mean (Known)  7.3 Hypothesis Testing for the Mean (Unknown)  7.4 Hypothesis Testing for Proportions  7.5 Hypothesis Testing for Variance and Standard Deviation Hypothesis Testing with Two Samples 8.1 Testing the Difference Between Means (Independent Samples, 1 and 2 Known) 8.2 Testing the Difference Between Means (Independent Samples, 1 and 2 Unknown) 8.3 Testing the Difference Between Means (Dependent Samples) 8.4 Testing the Difference Between Proportions Cumulative Review: Chapters 6-8 IV. MORE STATISTICAL INFERENCE Correlation and Regression  9.1 Correlation  9.2 Linear Regression  9.3 Measures of Regression and Prediction Intervals  9.4 Multiple Regression  Chi-Square Tests and theF-Distribution  10.1 Goodness-of-Fit Test  10.2 Independence  10.3 Comparing Two Variances  10.4 Analysis of Variance  Cumulative Review: Chapters 9 & 10 Nonparametric Tests (Online Only)* 11.1 The Sign Test 11.2 The Wilcoxon Tests 11.3 The Kruskal-Wallis Test 11.4 Rank Correlation 11.5 The Runs Test

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Institution
Introduction To Statistics
Course
Introduction to Statistics

Content preview

SOLUTIONS for
Elementary Statistics: Picturing the
World, 8th edition
Author (s): Ron Larson
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, CHAPTER
Introduction to Statistics
1
1.1 AN OVERVIEW OF STATISTICS

1.1 TRY IT YOURSELF SOLUTIONS

1. The population consists of the responses of all teens in the United States. The sample consists of the
responses of the 1516 teens in the survey. The sample data set consists of 1228 teens who said mental
health is a significant issue for young people in the U.S. and 288 teens who did not say that.
D,
2a. Population parameter, because the total spent on employees’ salaries, $5,150,694, is based on the
entire company.

b. Sample statistic, because 47% is based on a subset of the population.
HU
3a. The population consists of the responses of all Internet users, and the sample consists of the responses
of the 513 Internet users in the study.

b. The part of this study that represents the descriptive branch of statistics involves the statement “97%
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of the respondents said music is important to them, and 83% of the respondents said they actively
look for new music.”

c. A possible inference drawn from the study is that a large majority of Internet users find music to be
important to them and actively look for new music.
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1.1 EXERCISE SOLUTIONS
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1. A sample is a subset of a population.

2. It is usually impractical (too expensive and/or time consuming) to obtain all the population data.

3. A parameter is a numerical description of a population characteristic. A statistic is a numerical
description of a sample characteristic.
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4. The two main branches of statistics are descriptive statistics and inferential statistics.

5. False. A statistic is a numerical description of a sample characteristic.
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6. True
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7. True

8. False. Inferential statistics involves using a sample to draw conclusions about a population.

9. False. A population is the collection of all outcomes, responses, measurements, or counts that are of
interest.
10. False. A sample statistic can differ from sample to sample.

1

Copyright © 2023 Pearson Education, Inc.

,2 CHAPTER 1 Ň INTRODUCTION TO STATISTICS



11. Population, because it is a collection of the salaries of each employee at an advertising firm.

12. Population, because it is a collection of the energy collected from all the solar panels on a
photovoltaic power plant.

13. Sample, because the collection of the 250 people is a subset of the population of 20,000 members of
an organized union.

14. Population, because it is a collection of the revenue of each team in a pro sports league.
D,
15. Sample, because the collection of the 12 people is a subset of the 49 people who escaped a burning
building.

16. Population, because it is a collection of the number of Electoral College votes in each states in the
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U.S. and the District of Columbia.

17. Population, because it is the collection of all the guests in each room of a hotel.

18. Sample, because only the amount spent by every tenth person cashing out is recorded.
B_
19. Population, because it is a collection of the nationalities of every person passing through a customs
station.

20. Sample, because the collection of the 15 precipitation amounts is a subset of the population.
ST
21. Population: Parties of registered voters
Sample: Parties of registered voters who respond to a survey

22. Population: Meal plan choices of college students
UV
Sample: Meal plan choices of freshmen

23. Population: Ages of adults in the United States who own motor vehicles
Sample: Ages of adults in the United States who own two-wheeled motor vehicles

24. Population: Incomes of adults in Nevada
IA
Sample: Incomes of adults in Nevada who own homes

25. Population: Collections of the responses of all U.S. adults
Sample: Collection of the responses of the 1021 U.S. adults surveyed
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Sample data set: 45% of adults who have a favorable view of Cuba and 55% who do not
?
26. Population: Collection of the gut microbiomes of all infants
Sample: Collection of the gut microbiomes of 227 U.S. infants
Sample data set: The gut microbiomes of infants and their health

27. Population: Collection of the U.S. adults who have received vaccines
Sample: Collection of responses of 1500 U.S. adults who have received vaccines
Sample data set: 59% of U.S. adults who have never had a vaccine reaction and 41% who have




Copyright © 2023 Pearson Education, Inc.

, CHAPTER 1 Ň INTRODUCTION TO STATISTICS 3

28. Population: Collection of the responses of U.S. adults
Sample: Collection of the responses of 1028 U.S. adults surveyed
Sample data set: 7% of adults who have never heard of organ and tissue donation and 93% who have

29. Population: Collection of responses from small business owners in the U.S.
Sample: Collection of responses of 2111 U.S. small business owners
Sample data set: 54% of small business owners who oppose increasing the minimum wage and 46%
who do not

30. Population: Collection of plans after college of all seniors graduating with a Bachelor of Science
degree
D,
Sample: Collection of plans after college of 214 seniors graduating with a Bachelor of Science degree
Sample data set: 15% of those surveyed who plan to obtain entry-level jobs in the health field and
85% who do not
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31. Population: Collection of all U.S. adults
Sample: Collection of responses of 1001 U.S. adults who were surveyed
Sample data set: 47% of respondents who typically feel well rested on weekdays and 53% who do not

32. Population: Collection of the responses of all automobile owners who have purchased extended
warranties
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Sample: Collection of responses of the 366 automobile owners who purchased extended warranties
surveyed
Sample data set: 44% of those surveyed who never used the warranty and 56% who have

33. Population: Collection of all companies listed in the Standard & Poor’s 500
ST
Sample: Collection of the responses of the 74 Standard & Poor’s 500 companies surveyed
Sample data set: Starting salaries of the 74 companies surveyed

34. Population: Collection of responses of members of a local children’s museum
UV
Sample: Collection of responses of the 679 members of a local children’s museum surveyed
Sample data set: Parenting attitudes of the 679 members surveyed

35. Sample statistic. The value $71,000 is a numerical description of a sample of average salaries.

36. Sample statistic. The value of 89% is a numerical description of a sample of college board members.
IA
37. Population parameter. The 62 surviving passengers out of 97 total passengers is a numerical
description of all of the passengers of the Hindenburg that survived.
?
38. Population parameter. The value of 54% is a numerical description of the total number of governors.
?
39. Sample statistic. The value of 6% is a numerical description of the sample of automobile owners.

40. Population parameter. The value 47% is a numerical description of the total number of voters.

41. Sample statistic. The value 79% is a numerical description of a sample of U.S. adults.

42. Population parameter. The score 20.2 is a numerical description of the ACT scores for all graduates.




Copyright © 2023 Pearson Education, Inc.

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Introduction to Statistics

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