# Elementary Statistics: Picturing the World (5e)

Ron Larson, Penn State University at Erie
Betsy Farber, Bucks County Community College
Title Elementary Statistics: Picturing the World
Edition 5th
ISBN 9780321693624
ISBN 10 0321693620
Published 14/01/2011
Pages 784
Format Book With CD
In stock

Total Price \$132.95 Add to Cart
##### Description

Elementary Statistics: Picturing the World, Fifth Edition, offers our most accessible approach to statistics—with more than 750 graphical displays that illustrate data, students are able to visualize key statistical concepts immediately. Adhering to the philosophy that students learn best by doing, this book relies heavily on examples–25% of the examples and exercises are new for this edition. Larson and Farber continue to demonstrate that statistics is all around us and that it’s easy to understand.

Part One. 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

Part Two. Probability & Probability Distributions

3. Probability

3.1. Basic Concepts of Probability and Counting

3.2. Conditional Probability and the Multiplication 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

Part Three. Statistical Inference

6. Confidence Intervals

6.1. Confidence Intervals for the Mean (Large Samples)

6.2. Confidence Intervals for the Mean (Small Samples)

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 (Large Samples)

7.3. Hypothesis Testing for the Mean (Small Samples)

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 (Large Independent Samples)

8.2. Testing the Difference Between Means (Small Independent Samples)

8.3. Testing the Difference Between Means (Dependent Samples)

8.4. Testing the Difference Between Proportions

Part Four. 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

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

Appendix A. Alternative Presentation of the Standard Normal Distribution

Standard Normal Distribution Table (0-to-z)

Alternative Presentation of the Standard Normal Distribution

Appendix B. Tables

Table 1 Random Numbers

Table 2 Binomial Distribution

Table 3 Poisson Distribution

Table 4 Standard Normal Distribution

Table 5 t-Distribution

Table 6 Chi-Square Distribution

Table 7 F-Distribution

Table 8 Critical Values for the Sign Test

Table 9 Critical Values for the Wilcoxon Signed-Rank Test

Table 10 Critical Values for the Spearman Rank Correlation

Table 11 Critical Values for the Pearson Correlation Coefficient

Table 12 Critical Values for the Number of Runs

Appendix C. Normal Probability Plots and Their Graphs

Answers to the Try It Yourself Exercises

Index

Photo Credits

##### New to this edition
• Exercises and applications include more content on social media, allied health, and topics that are relevant and interesting to students.
• Increased emphasis on interpretation: many examples and exercises were updated with an eye toward emphasizing the importance of interpreting results rather than just performing calculations.
• StatCrunch integration: key examples throughout the text are replicated in StatCrunch, providing students with a practical and engaging way of learning how to use the StatCrunch software to solve problems. New section-level exercises direct students to use StatCrunch to solve them.
• 50% new Chapter Openers, Uses and Abuses, Putting It All Together features, and Case Studies keep this edition fresh and relevant for today’s students. In addition, 25% of exercises and examples are new.

##### Features & benefits
• Real-world applications are abundant and diverse, showing students the relevance of the material they are learning.
• Picturing the World mini case studies illustrate the important concept(s) in each section, and conclude with questions that link to the content. These underscore the real-world importance of understanding statistics and promote classroom discussion or group work.
• Real Statistics–Real Decisions features place students in a professional scenario where they need to use statistics to solve a problem. It walks them through the approach and thought process to help them apply the chapter’s concepts to a real-world situation.
• Full-page Case Studies at the end of every chapter include real data gathered from a real problem, along with a series of thought-provoking questions designed to illustrate important concepts of the chapter and to motivate students to learn the concepts. Case Studies can be used as a springboard for group or individual projects, and encourage critical thinking and classroom discussion.
• Uses and Abuses in every chapter use a full page to summarize the applications of chapter concepts, along with descriptions of common misuses. Each “Abuse” is accompanied by exercises. In addition, there is also a discussion of ethical issues.
• Applet Activities encourage investigation of concepts in the lesson with exercises that ask students to draw conclusions. The 14 applets included on the text CD-ROM and within MyStatLab are an excellent way for students to manipulate data and interact with concepts.
• Graphical approach: more than 750 graphical displays are strategically placed throughout the text to illustrate the data and reduce unnecessary wordiness. As a result, students visually grasp the story told by the data.
• The exposition strikes a balance among computation, decision making, and conceptual understanding, as endorsed by GAISE recommendations.
• The book is split into four Parts. At the conclusion of each Part, there is a set of cumulative exercises. These exercises cover multiple topics to ensure comprehension of important concepts and allow students to practice choosing the right technique to implement.
• Examples are titled and numbered for easy reference, and illustrate every concept in the text.
• Try It Yourself problems follow every example so students can put their understanding into practice immediately.
• More than 2,000 exercises give instructors a wide variety of problems and show students a diverse range of interesting real-life applications. These are grouped for easy assigning.
• Building Basic Skills and Vocabulary are short answer, true/false, and vocabulary exercises.
• Using and Interpreting Concepts are skill-based or word problems that emphasize critical thinking.
• Extending Concepts are more challenging and go beyond the material presented in the current section.
• Flexible technology coverage allows instructors to select the data analysis technology most appropriate for their class. This text aims to provide students with an understanding of the mathematical concepts behind the instant answer that the technology tools provide. Instructors have the freedom to determine the degree of technical dependency that their course will require.
• Many sections contain a worked example that shows how technology can be used to calculate formulas, perform tests, or display data. Screen shots from Minitab®, Excel®, and the TI-83/84 Plus are provided.
• Technology Projects in each chapter use tools from Minitab, Excel, or the TI-83/84 Plus to give students additional insight into the way technology is used to handle large data sets or complex questions.
• Chapter Summary, Review Exercises, and Quiz at the end of each chapter are convenient study aids, with opportunities to test students knowledge.
• The Chapter Summary answers the question “What did you learn?” Each topic in the summary listing is correlated to appropriate example(s) and exercise(s) in the chapter. This summary also lists the formulas covered in the chapter.

##### Author biography

Ron Larson received his PhD 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. Dr. Larson is the lead author of more than two dozen mathematics textbooks that range from sixth grade through calculus levels.

Betsy Farber received her Bachelor's degree in mathematics form Penn State University and Master's degree in mathematics from the College of New Jersey. Since 1976, she has been teaching all levels of mathematics at Bucks County Community College in Newton, Pennsylvania, where she currently holds the rank of professor. She is particularly interested in developing new ways to make statistics relevant and interesting to her students and has been teaching statistics in many different modes - with TI-83/84, with MINITAB, and by distance learning as well as in the traditional classroom.

##### Supplement URL
http://www.pearsonhighered.com/larson5einfo