# Stats: Data and Models, Global Edition

4th Edition## Richard De Veaux, Paul Velleman, David Bock

Aug 2015, Paperback, 996 pagesISBN13: 9781292101637

ISBN10: 1292101636

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## Description

- Table of Contents
- Features

Richard De Veaux, Paul Velleman, and David Bock wrote *Stats: Data and Models** *with the goal that students and instructors have as much fun reading it as they did writing it. Maintaining a conversational, humorous, and informal writing style, this new edition engages students from the first page. The authors focus on statistical thinking throughout the text and rely on technology for calculations. As a result, students can focus on developing their conceptual understanding. Innovative Think/Show/Tell examples give students a problem-solving framework and, more importantly, a way to think through any statistics problem and present their results. The **Fourth Edition **is updated with instructor podcasts, video lectures, and new examples to keep material fresh, current, and relevant to today’s students.

**MyStatLab not included. **Students, if MyStatLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyStatLab should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.

**MyStatLab** is an online homework, tutorial, and assessment product designed to personalize learning and improve results. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts.

- Description
## Table of Contents

- Features

Preface

**Part I: Exploring and Understanding Data**

**1. Stats Starts Here**

1.1 What Is Statistics?

1.2 Data

1.3 Variables

**2. Displaying and Describing Categorical Data**

2.1 Summarizing and Displaying a Single Categorical variable

2.2 Exploring the Relationship Between Two Categorical variables

**3. Displaying and Summarizing Quantitative Data **

3.1 Displaying quantitative variables

3.2 Shape

3.3 Center

3.4 Spread

3.5 Boxplots and 5-Number Summaries

3.6 The Center of Symmetric Distributions: The Mean

3.7 The Spread of Symmetric Distributions: The Standard Deviation

3.8 Summary—What to Tell About a quantitative variable

**4. Understanding and Comparing Distributions**

4.1 Comparing Groups with Histograms

4.2 Comparing Groups with Boxplots

4.3 Outliers

4.4 Timeplots: Order, Please!

4.5 Re-Expressing Data: A First Look

**5. The Standard Deviation as a Ruler and the Normal Model**

5.1 Standardizing with z-Scores

5.2 Shifting and Scaling

5.3 Normal Models

5.4 Finding Normal Percentiles

5.5 Normal Probability Plots

**Part II: Exploring Relationships Between Variables**

**6. Scatterplots, Association, and Correlation **

6.1 Scatterplots

6.2 Correlation

6.3 Warning: Correlation ≠ Causation

6.4 Straightening Scatterplots

**7. Linear Regression**

7.1 Least Squares: The Line of “Best Fit”

7.2 The Linear Model

7.3 Finding the Least Squares Line

7.4 Regression to the Mean

7.5 Examining the Residuals

7.6 R2—The variation Accounted For by the Model

7.7 Regression Assumptions and Conditions

**8. Regression Wisdom**

8.1 Examining Residuals

8.2 Extrapolation: Reaching Beyond the Data

8.3 Outliers, Leverage, and Influence

8.4 Lurking variables and Causation

8.5 Working with Summary values

**9. Re-expressing Data: Get It Straight!**

9.1 Straightening Scatterplots – The Four Goals

9.2 Finding a Good Re-Expression

**Part III: Gathering Data**

**10. Understanding Randomness**

10.1 What Is Randomness?

10.2 Simulating by Hand

**11. Sample Surveys**

11.1 The Three Big Ideas of Sampling

11.2 Populations and Parameters

11.3 Simple Random Samples

11.4 Other Sampling Designs

11.5 From the Population to the Sample: You Can’t Always Get What You Want

11.6 The valid Survey

11.7 Common Sampling Mistakes, or How to Sample Badly

**12. Experiments and Observational Studies**

12.1 Observational Studies

12.2 Randomized, Comparative Experiments

12.3 The Four Principles of Experimental Design

12.4 Control Treatments

12.5 Blocking

12.6 Confounding

**Part IV: Randomness and Probability**

**13. From Randomness to Probability**

13.1 Random Phenomena

13.2 Modeling Probability

13.3 Formal Probability

**14. Probability Rules!**

14.1 The General Addition Rule

14.2 Conditional Probability and the General Multiplication Rule

14.3 Independence

14.4 Picturing Probability: Tables, Venn Diagrams, and Trees

14.5 Reversing the Conditioning and Bayes’ Rule

**15. Random Variables**

15.1 Center: The Expected value

15.2 Spread: The Standard Deviation

15.3 Shifting and Combining Random variables

15.4 Continuous Random variables

**16. Probability Models**

16.1 Bernoulli Trials

16.2 The Geometric Model

16.3 The Binomial Model

16.4 Approximating the Binomial with a Normal Model

16.5 The Continuity Correction

16.6 The Poisson Model

16.7 Other Continuous Random Variables: The Uniform and the Exponential

**Part V: From the Data at Hand to the World at Large**

**17. Sampling Distribution Models**

17.1 Sampling Distribution of a Proportion

17.2 When Does the Normal Model Work? Assumptions and Conditions

17.3 The Sampling Distribution of Other Statistics

17.4 The Central Limit Theorem: The Fundamental Theorem of Statistics

17.5 Sampling Distributions: A Summary

**18. Confidence Intervals for Proportions**

18.1 A Confidence Interval

18.2 Interpreting Confidence Intervals: What Does 95% Confidence Really Mean?

18.3 Margin of Error: Certainty vs. Precision

18.4 Assumptions and Conditions

**19. Testing Hypotheses About Proportions**

19.1 Hypotheses

19.2 P-values

19.3 The Reasoning of Hypothesis Testing

19.4 Alternative Alternatives

19.5 P-values and Decisions: What to Tell About a Hypothesis Test

**20. Inferences About Means**

20.1 Getting Started: The Central Limit Theorem (Again)

20.2 Gosset’s t

20.3 Interpreting Confidence Intervals

20.4 A Hypothesis Test for the Mean

20.5 Choosing the Sample Size

**21. More About Tests and Intervals**

21.1 Choosing Hypotheses

21.2 How to Think About P-values

21.3 Alpha Levels

21.4 Critical values for Hypothesis Tests

21.5 Errors

**Part VI: Accessing Associations Between Variables**

**22. Comparing Groups**

22.1 The Standard Deviation of a Difference

22.2 Assumptions and Conditions for Comparing Proportions

22.3 A Confidence Interval for the Difference Between Two Proportions

22.4 The Two Sample z-Test: Testing for the Difference Between Proportions

22.5 A Confidence Interval for the Difference Between Two Means

22.6 The Two-Sample t-Test: Testing for the Difference Between Two Means

22.7 The Pooled t-Test: Everyone into the Pool?

**23. Paired Samples and Blocks**

23.1 Paired Data

23.2 Assumptions and Conditions

23.3 Confidence Intervals for Matched Pairs

23.4 Blocking

**24. Comparing Counts**

24.1 Goodness-of-Fit Tests

24.2 Chi-Square Test of Homogeneity

24.3 Examining the Residuals

24.4 Chi-Square Test of Independence

**25. Inferences for Regression**

25.1 The Population and the Sample

25.2 Assumptions and Conditions

25.3 Intuition About Regression Inference

25.4 Regression Inference

25.5 Standard Errors for Predicted values

25.6 Confidence Intervals for Predicted values

25.7 Logistic Regression

**Part VII: Inference When Variables Are Related**

**26. Analysis of Variance**

26.1 Testing Whether the Means of Several Groups Are Equal

26.2 The ANOVA Table

26.3 Assumptions and Conditions

26.4 Comparing Means

26.5 ANOVA on Observational Data

**27. Multifactor Analysis of Variance**

27.1 A Two Factor ANOVA Model

27.2 Assumptions and Conditions

27.3 Interactions

**28. Multiple Regression**

28.1 What Is Multiple Regression?

28.2 Interpreting Multiple Regression Coefficients

28.3 The Multiple Regression Model—Assumptions and Conditions

28.4 Multiple Regression Inference

28.5 Comparing Multiple Regression Models

**29. Multiple Regression Wisdom**

29.1 Indicators

29.2 Diagnosing Regression Models: Looking at the Cases

29.3 Building Multiple Regression Models

29.4 Building Multiple Regression Models Sequentially

**Appendixes**

A: Answers

B: Photo Acknowledgments

C: Index

D: Tables and Selected Formulas

- Description
- Table of Contents
## Features

This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content which is especially relevant to students outside the United States.

**Data Analysis and Problem Solving**

**NEW! Exercise sets**have been expanded with hundreds of new exercises and now feature an improved arrangement. They progress in difficulty from basic questions to complex, multi-step exercises that ask the student to synthesize and incorporate the ideas they’ve learned from previous chapters. Answers are provided for odd-numbered exercises.**Emphasis on data analysis**encourages the use of technology to analyze data, so students focus on asking the right questions, critically analyzing results, and drawing appropriate conclusions. Instructions are provided for major statistical packages.**The Think, Show, Tell**approach to problem solving teaches students how to think statistically, show proper application of techniques, and tell others what they have learned. These step-by-step examples guide students through the problem with both a general explanation alongside the worked-out solution.**NEW! Think/Show/Tell**examples have been updated with new applications and data. These examples have been reworked so that each example begins with a clear question, and ends with a conclusion that answers the stated question.**Math Boxes**provide proofs, derivations, and formulas so that students can refer to the underlying mathematics for enhanced understanding.- The authors consistently discuss the
**Assumptions and Conditions**necessary to perform a particular test, make a certain calculation, or arrive at an interpretation or conclusion in the worked examples and exercises. **NEW! Current data**ensures that this book remains relevant to students and their interests. Most of the data used in examples and exercises are real and have been updated for the new edition. Data come from author experience, news stories and recent research articles. Whenever possible, the data are on the DVD so students can explore them further.

**Real-Life Problems and Solutions**

**Where Are We Going?**chapter openers begin each chapter with a real-life example. This feature demonstrates how the material fits in with what students already learned and prepares them for upcoming statistical concepts.**What Can Go Wrong?**discussions in each chapter address common misuses and misunderstandings of statistics to arm students with the tools to detect statistical errors and debunk misuses of statistics.**What Have We Learned?**summaries highlight concepts, terms, and skills that the student has learned in the chapter.**Just Checking**questions in each chapter ask students to pause and think about what they’ve read to ensure that they understand the material presented thus far. Answers are at the end of the chapter.**NEW! For Example**illustrative examples embedded throughout the chapter show how to apply concepts and methods discussed in the text. With about four new examples per chapter, there are more than 100 new examples in this edition.

**Pointers, Notes, and Lectures from the Authors**

**ActivStats Pointers**throughout the text indicate where ActivStats activities complement and enhance the discussions presented in the book.**Marginal Notation Alerts**are included throughout the text to explain how to properly use the related statistical notation.**NEW! Instructor Podcasts**from the authors focus on the key points of each chapter, helping both new and experienced instructors prepare for class. These are available for download from MyStatLab.**NEW! Video Lectures**were scripted and presented by the authors themselves, helping students review the important points in each chapter. Different video presenters also work through examples from the text.

** **

**MyStatLab not included. **Students, if MyStatLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyStatLab should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.

**Also Available with MyStatLab™**

This title is also available with MyStatLab–an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them better absorb course material and understand difficult concepts.

Students, if interested in purchasing this title with MyStatLab, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information.

**MyStatLab™** from Pearson is the world’s leading online resource for teaching and learning statistics; integrating interactive homework, assessment, and media in a flexible, easy-to-use format. MyStatLab is a course management system that delivers **improving results** in helping individual students succeed.

- MyStatLab can be implemented successfully in any environment—lab-based, hybrid, fully online, traditional—and demonstrates the quantifiable difference that integrated usage has on student retention, subsequent success, and overall achievement.
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MyStatLab provides **engaging experiences** that personalize, stimulate, and measure learning for each student. In addition to the resources below, each course includes a full interactive online version of the accompanying textbook.

**Personalized Learning:**We now offer your course with an optional focus on adaptive learning to allow your students to work on just what they need to learn when it makes the most sense, to maximize their potential for understanding and success.**Tutorial Exercises with Multimedia Learning Aids:**The homework and practice exercises in MyStatLab align with the exercises in the textbook, and most regenerate algorithmically to give students unlimited opportunity for practice and mastery. Exercises offer immediate helpful feedback, guided solutions, sample problems, animations, videos, statistical software tutorial videos and eText clips for extra help at point-of-use.**MyStatLab Accessibility:**MyStatLab is compatible with the JAWS screen reader, and enables multiple-choice and free-response problem-types to be read and interacted with via keyboard controls and math notation input. MyStatLab also works with screen enlargers, including ZoomText, MAGic, and SuperNova. And all MyStatLab videos accompanying texts with copyright 2009 and later have closed captioning. More information on this functionality is available at http://mymathlab.com/accessibility.**StatTalk Videos:**Fun-loving statistician Andrew Vickers takes to the streets of Brooklyn, NY, to demonstrate important statistical concepts through interesting stories and real-life events. This series of 24 fun and engaging videos will help students actually understand statistical concepts. Available with an instructor’s user guide and assessment questions.**Additional Question Libraries:**In addition to algorithmically regenerated questions that are aligned with your textbook, MyStatLab courses come with two additional question libraries.**450 exercises**in**Getting Ready for Statistics**cover the developmental math topics students need for the course. These can be assigned as a prerequisite to other assignments, if desired.**1000 exercises**in the**Conceptual Question Library**require students to apply their statistical understanding.

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