Elementary Statistics Picturing the World

by Larson, Ron; Farber, Betsy

• ISBN13: 9780134683416
• ISBN10: 0134683412
• eBook ISBN(s): 9780134683744
• Additional ISBN(s): 9780137493326, 9780321911216
• Edition: 7th
• Format: Hardcover
• Copyright: 2018-01-03
• Publisher: Pearson

About This Book

Elementary Statistics: Picturing the World, 7th Edition

ISBN: 9780134683416

Elementary Statistics: Picturing the World is a comprehensive textbook designed for introductory statistics courses. It's a go-to resource for students and educators alike, offering a detailed exploration of statistical concepts and real-world applications. This book simplifies statistics through practice and real-world examples, making it easier for students to understand and apply statistical principles.

Who Uses It?

Primarily, this book is used by students and instructors in introductory statistics courses at the college and university levels. It's also a valuable resource for anyone interested in understanding the basics of statistics, including professionals looking to refresh their knowledge or expand their understanding of statistical principles.

History and Editions

The 7th edition of Elementary Statistics: Picturing the World has been updated to address user feedback, incorporating the latest research and discussions on statistical analysis. This edition includes detailed updates on key features, examples, and exercises; new Tech Tips now appear in most sections, showing how to use Minitab, Excel, the TI-84 Plus, and StatCrunch to solve problems. The book's design fits content to each page, making the material more digestible.

Author and Other Works

Ron Larson is the author of Elementary Statistics: Picturing the World. Ron Larson is known for his ability to explain complex statistical concepts clearly and simply. He has authored numerous textbooks in mathematics and statistics, ensuring that his works remain current and relevant.

Key Features

• Comprehensive Coverage: The book covers core concepts in statistics, including detailed explanations and examples.
• Real-World Applications: Extensive real-life examples and exercises help students picture the world using statistics.
• Interactive Digital Learning Experience: The eTextbook rental includes instant access to the eTextbook, search, highlight, and notes features, as well as the ability to create flashcards.
• Help When and Where You Need It: The book provides instant feedback on assignments and includes study tools that help students understand and apply statistical concepts.

Detailed Information

ISBNs and Formats

• Hardcover: ISBN-13: 9780134683416
• eTextbook Rental: Available with Pearson+ eTextbook (no specific ISBN provided)
• Loose-leaf: Not available (no specific ISBN provided)
• Rental Options: Various rental durations available from different retailers

Publication Details

• Publisher: Pearson
• Publication Date: January 3rd, 2018
• Number of Pages: Not specified
• Language: English
• Item Weight: Not specified
• Dimensions: 8.50 x 11.00 x 1.10 inches

Other Editions and Formats

• 6th Edition: Available through Pearson and other retailers (ISBN-13: 9780134683409)
• eTextbook with Study Tools: Available with Pearson+ eTextbook (no specific ISBN provided)
• Related ISBNs:
• 9780137504329 (7th Edition, Loose-leaf)
• 9780134683409 (6th Edition, Hardcover)
• 9780134683423 (6th Edition, Loose-leaf)

This detailed information section provides a quick reference for all the available formats and sources for Elementary Statistics: Picturing the World, making it easier to find and access the book in the preferred format.

Author Biography

Ron Larson received his Ph.D. in mathematics from the University of Colorado in 1970. At that time he accepted a position with Penn State University, and he currently holds the rank of professor of mathematics at the university. Larson is the lead author of more than two dozen mathematics textbooks that range from 6th grade through calculus levels. Many of his texts, such as the 10th edition of his calculus text, are leaders in their markets. Larson is also one of the pioneers in the use of multimedia and the Internet to enhance the learning of mathematics. He has authored multimedia programs, extending from the elementary school through calculus levels. Larson is a member of several professional groups and is a frequent speaker at national and regional mathematics meetings.

Many thanks goes to Betsy Farber for her significant contributions to previous editions of the text. Sadly, Betsy passed away in 2013. She received her Bachelor’s degree in mathematics from Penn State University and her Master’s degree in mathematics from the College of New Jersey. Betsy taught all levels of mathematics at Bucks County Community College in Newtown, Pennsylvania for many years. She made many notable contributions throughout her career to developing new ways to make statistics relevant and interesting for both online and traditional students.

Table of Contents

I. DESCRIPTIVE STATISTICS

1. Introduction to Statistics

1.1 An Overview of Statistics 

1.2 Data Classification 

1.3 Data Collection and Experimental Design 

2. 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 

II. PROBABILITY AND PROBABILITY DISTRIBUTIONS

3. 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 

4. Discrete Probability Distributions 

4.1 Probability Distributions 

4.2 Binomial Distributions 

4.3 More Discrete Probability Distributions 

5. 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 

III. STATISTICAL INFERENCE

6. Confidence Intervals 

6.1 Confidence Intervals for the Mean (S Known) 

6.2 Confidence Intervals for the Mean (S Unknown) 

6.3 Confidence Intervals for Population Proportions 

6.4 Confidence Intervals for Variance and Standard Deviation 

7. Hypothesis Testing with One Sample 

7.1 Introduction to Hypothesis Testing 

7.2 Hypothesis Testing for the Mean (S Known) 

7.3 Hypothesis Testing for the Mean (S Unknown) 

7.4 Hypothesis Testing for Proportions 

7.5 Hypothesis Testing for Variance and Standard Deviation 

8. Hypothesis Testing with Two Samples
8.1 Testing the Difference Between Means (Independent Samples, S1 and S2 Known)
8.2 Testing the Difference Between Means (Independent Samples, S1 and S2 Unknown)
8.3 Testing the Difference Between Means (Dependent Samples)
8.4 Testing the Difference Between Proportions

IV. MORE STATISTICAL INFERENCE

9. Correlation and Regression 

9.1 Correlation 

9.2 Linear Regression 

9.3 Measures of Regression and Prediction Intervals 

9.4 Multiple Regression 

10. Chi-Square Tests and the F -Distribution 

10.1 Goodness-of-Fit Test 

10.2 Independence 

10.3 Comparing Two Variances 

10.4 Analysis of Variance 

11. Nonparametric Tests (Web 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

* Available at www.pearson.com/math-stats-resources and in MyLab Statistics.

APPENDICES

Appendix A: Alternative Presentation of the Standard Normal Distribution 

Appendix B: Tables 

Appendix C: Normal Probability Plots