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Stats: Data and Models, Third Edition, will intrigue and challenge students by encouraging them to think statistically and by emphasizing how statistics helps us understand the world. Praised by students and instructors alike for its readability and ease of comprehension, this text focuses on statistical thinking and data analysis. The authors draw from their wealth of consulting experience to craft compelling examples, which encourage students to learn how to reason with data. This book is organized into short chapters that concentrate on one topic at a time, offering instructors maximum flexibility in planning their courses.
The book is appropriate for a one-or-two semester introductory statistics course and includes advanced topics, such as Analysis of Variance (ANOVA), Multiple Regression, and Nonparametrics.
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Datasets and other resources (where applicable) for this book are available at www.pearsonhighered.com/dvb
Features + Benefits
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.
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.
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.
Marginal Notation Alerts are included throughout the text to explain how to properly use the related statistical notation.
The DVD-ROM included in every new copy of the book includes the following multimedia features:
ActivStats®, a multimedia presentation of statistics that encourages students to explore, interact, and learn statistical concepts through video, animation, simulations, interactive activities, exercises, and hundreds of data sets in addition to interactive training on Data Desk.
A complete statistics package (student version of Data Desk®), and an Excel® add-in (DDXL).
Data sets for all problems in the book marked with a “T.”
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.
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.
ActivStats Pointers throughout the text indicate where ActivStats activities complement and enhance the discussions presented in the book.
What Have We Learned? summaries highlight concepts, terms, and skills that the student has learned in the chapter.
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.
I. Exploring and Understanding Data
1. Stats Starts Here
2. Data
3. Displaying and Describing Categorical Data
4. Displaying and Summarizing Quantitative Data
5. Understanding and Comparing Distributions
6. The Standard Deviation as a Ruler and the Normal Model
Review of Part I: Exploring and Understanding Data
II. Exploring Relationships between Variables
7. Scatterplots, Association, and Correlation
8. Linear Regression
9. Regression Wisdom
10. Re-expressing Data: Get It Straight!
Review of Part II: Exploring Relationships Between Variables
III. Gathering Data
11. Understanding Randomness
12. Sample Surveys
13. Experiments and Observational Studies
Review of Part III: Gathering Data
IV. Randomness and Probability
14. From Randomness to Probability
15. Probability Rules!
16. Random Variables
17. Probability Models
Review of Part IV: Randomness and Probability
V. From the Data at Hand to the World At Large
18. Sampling Distribution Models
19. Confidence Intervals for Proportions
20. Testing Hypotheses about Proportions
21. More About Tests and Intervals
22. Comparing Two Proportions
Review of Part V: From the Data at Hand to the World at Large
VI. Learning about the World
23. Inferences about Means
24. Comparing Means
25. Paired Samples and Blocks
Review of Part VI: Learning About the World
VII. Inference When Variables are Related
26. Comparing Counts
27. Inferences for Regression
28. Analysis of Variance
29. Multifactor Analysis of Variance
APPENDIXES
A. Selected Formulas
B. Answers
C. Photo Acknowledgements
D. Index
E. Tables
The book is appropriate for a one-or-two semester introductory statistics course and includes advanced topics, such as Analysis of Variance (ANOVA), Multiple Regression, and Nonparametrics.
¿
Datasets and other resources (where applicable) for this book are available at www.pearsonhighered.com/dvb
Features + Benefits
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.
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.
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.
Marginal Notation Alerts are included throughout the text to explain how to properly use the related statistical notation.
The DVD-ROM included in every new copy of the book includes the following multimedia features:
ActivStats®, a multimedia presentation of statistics that encourages students to explore, interact, and learn statistical concepts through video, animation, simulations, interactive activities, exercises, and hundreds of data sets in addition to interactive training on Data Desk.
A complete statistics package (student version of Data Desk®), and an Excel® add-in (DDXL).
Data sets for all problems in the book marked with a “T.”
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.
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.
ActivStats Pointers throughout the text indicate where ActivStats activities complement and enhance the discussions presented in the book.
What Have We Learned? summaries highlight concepts, terms, and skills that the student has learned in the chapter.
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.
I. Exploring and Understanding Data
1. Stats Starts Here
2. Data
3. Displaying and Describing Categorical Data
4. Displaying and Summarizing Quantitative Data
5. Understanding and Comparing Distributions
6. The Standard Deviation as a Ruler and the Normal Model
Review of Part I: Exploring and Understanding Data
II. Exploring Relationships between Variables
7. Scatterplots, Association, and Correlation
8. Linear Regression
9. Regression Wisdom
10. Re-expressing Data: Get It Straight!
Review of Part II: Exploring Relationships Between Variables
III. Gathering Data
11. Understanding Randomness
12. Sample Surveys
13. Experiments and Observational Studies
Review of Part III: Gathering Data
IV. Randomness and Probability
14. From Randomness to Probability
15. Probability Rules!
16. Random Variables
17. Probability Models
Review of Part IV: Randomness and Probability
V. From the Data at Hand to the World At Large
18. Sampling Distribution Models
19. Confidence Intervals for Proportions
20. Testing Hypotheses about Proportions
21. More About Tests and Intervals
22. Comparing Two Proportions
Review of Part V: From the Data at Hand to the World at Large
VI. Learning about the World
23. Inferences about Means
24. Comparing Means
25. Paired Samples and Blocks
Review of Part VI: Learning About the World
VII. Inference When Variables are Related
26. Comparing Counts
27. Inferences for Regression
28. Analysis of Variance
29. Multifactor Analysis of Variance
APPENDIXES
A. Selected Formulas
B. Answers
C. Photo Acknowledgements
D. Index
E. Tables