<p>Richard De Veaux, Paul Velleman, and David Bock wrote <strong><em>Stats: Data and Models</em></strong> 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 <strong>Fourth Edition </strong>is updated with instructor podcasts, video lectures, and new examples to keep material fresh, current, and relevant to today&rsquo;s students.</p><p><strong>MyStatLab not included. </strong>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.</p><p><strong>MyStatLab</strong> 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.</p>

<ul>
    <li>Preface </li>
    <li>Part I: Exploring and Understanding Data </li>
    <li>1. Stats Starts Here </li>
    <li>2. Displaying and Describing Categorical Data </li>
    <li>3. Displaying and Summarizing Quantitative Data &nbsp; </li>
    <li>4. Understanding and Comparing Distributions </li>
    <li>5. The Standard Deviation as a Ruler and the Normal Model </li>
    <li>Part II: Exploring Relationships Between Variables </li>
    <li>6. Scatterplots, Association, and Correlation &nbsp; </li>
    <li>7. Linear Regression </li>
    <li>8. Regression Wisdom </li>
    <li>9. Re-expressing Data: Get It Straight! </li>
    <li>Part III: Gathering Data </li>
    <li>10. Understanding Randomness </li>
    <li>11. Sample Surveys </li>
    <li>12. Experiments and Observational Studies </li>
    <li>Part IV: Randomness and Probability </li>
    <li>13. From Randomness to Probability </li>
    <li>14. Probability Rules! </li>
    <li>15. Random Variables </li>
    <li>16. Probability Models </li>
    <li>Part V: From the Data at Hand to the World at Large </li>
    <li>17. Sampling Distribution Models </li>
    <li>18. Confidence Intervals for Proportions </li>
    <li>19. Testing Hypotheses About Proportions </li>
    <li>20. Inferences About Means </li>
    <li>21. More About Tests and Intervals </li>
    <li>Part VI: Accessing Associations Between Variables </li>
    <li>22. Comparing Groups </li>
    <li>23. Paired Samples and Blocks </li>
    <li>24. Comparing Counts </li>
    <li>25. Inferences for Regression </li>
    <li>Part VII: Inference When Variables Are Related </li>
    <li>26. Analysis of Variance </li>
    <li>27. Multifactor Analysis of Variance </li>
    <li>28. Multiple Regression </li>
    <li>29. Multiple Regression Wisdom </li>
    <li>Appendixes </li>
    <li>A: Answers </li>
    <li>B: Photo Acknowledgments </li>
    <li>C: Index </li>
    <li>D: Tables and Selected Formulas </li>
</ul>

<p>Richard De Veaux, Paul Velleman, and David Bock wrote&nbsp;<b><i>Stats: Data and Models</i></b><i>&nbsp;</i>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. </p>
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<p>Richard De Veaux, Paul Velleman, and David Bock wrote&nbsp;<b><i>Stats: Data and Models</i></b><i>&nbsp;</i>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 <b>Fourth Edition </b>is updated with instructor podcasts, video lectures, and new examples to keep material fresh, current, and relevant to today&#8217;s students.</p><p>&nbsp;</p><p><b>MyStatLab not included. </b>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.</p><p><br/><b>MyStatLab</b> 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.</p>

<ul>
    <li>Part I: Exploring and Understanding Data </li>
    <li>1. Stats Starts Here </li>
    <li>2. Displaying and Describing Categorical Data </li>
    <li>3. Displaying and Summarizing Quantitative Data &nbsp; </li>
    <li>4. Understanding and Comparing Distributions </li>
    <li>5. The Standard Deviation as a Ruler and the Normal Model </li>
    <li>Part II: Exploring Relationships Between Variables </li>
    <li>6. Scatterplots, Association, and Correlation &nbsp; </li>
    <li>7. Linear Regression </li>
    <li>9. Re-expressing Data: Get It Straight! </li>
    <li>Part III: Gathering Data </li>
    <li>10. Understanding Randomness </li>
    <li>11. Sample Surveys </li>
    <li>12. Experiments and Observational Studies </li>
    <li>Part IV: Randomness and Probability </li>
    <li>13. From Randomness to Probability </li>
    <li>14. Probability Rules! </li>
    <li>15. Random Variables </li>
    <li>16. Probability Models </li>
    <li>Part V: From the Data at Hand to the World at Large </li>
    <li>17. Sampling Distribution Models </li>
    <li>18. Confidence Intervals for Proportions </li>
    <li>19. Testing Hypotheses About Proportions </li>
    <li>20. Inferences About Means </li>
    <li>21. More About Tests and Intervals </li>
    <li>Part VI: Accessing Associations Between Variables </li>
    <li>22. Comparing Groups </li>
    <li>23. Paired Samples and Blocks </li>
    <li>24. Comparing Counts </li>
    <li>25. Inferences for Regression </li>
    <li>Part VII: Inference When Variables Are Related </li>
    <li>26. Analysis of Variance </li>
    <li>27. Multifactor Analysis of Variance </li>
    <li>28. Multiple Regression </li>
    <li>29. Multiple Regression Wisdom </li>
    <li>Appendixes </li>
    <li>A: Answers </li>
    <li>B: Photo Acknowledgments </li>
    <li>C: Index </li>
    <li>D: Tables and Selected Formulas </li>
</ul>

<p>Richard De Veaux, Paul Velleman, and David Bock wrote&nbsp;<b><i>Stats: Data and Models</i></b><i>&nbsp;</i>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. </p>

Paul Velleman

David E. Bock

Richard D. De Veaux

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Stats: Data and Models, Global Edition

Stats: Data and Models, Global Edition, 4th edition

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