Intro Stats (häftad)
Format
Häftad (Paperback)
Språk
Engelska
Antal sidor
864
Utgivningsdatum
2013-07-29
Upplaga
4
Förlag
Pearson
Medarbetare
Velleman, Paul / Bock, David
Antal komponenter
1
Komponenter
Paperback (1), CD-ROM (1)
ISBN
9781292022505
Intro Stats (häftad)

Intro Stats

Pearson New International Edition

Häftad Engelska, 2013-07-29
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Were you looking for the book with access to MyStatLab? This product is the book alone and does NOT come with access to MyStatLab. Buy the book and access card package to save money on this resource.

 

Richard De Veaux, Paul Velleman, and David Bock wrote Intro Stats 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.

 

New to the Fourth Edition is a streamlined presentation that keeps students focused on whats most important, while including out helpful features. An updated organization divides chapters into sections, with specific learning objectives to keep students on track. A detailed table of contents assists with navigation through this new layout. Single-concept exercises complement the existing mid- to hard-level exercises for basic skill development.

 

This text is also available with MyStatLabplease see the Features section or visit www.mystatlab.com for more information.
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Övrig information

Dick De Veaux (Williams College) is an award-winning teacher and consultant to major corporations. His real-world experiences and anecdotes illustrate many of the chapters. Dick has taught business students at Wharton, engineering students at Princeton, and liberal arts students at Williams. Dick was named the 2008 Mosteller Statistician of the Year, awarded by the Boston chapter of the American Statistical Association for exceptional contributions to the field of statistics and outstanding service to the statistical community. To learn more, please go to: http://www.williams.edu/admin/news/releases/1624/. Paul Velleman (Cornell University) is the only statistician to win the EDUCAUSE award for innovating technology for learning. The developer of ActivStats (R) multimedia software, Data Desk (R) statistics software, and the DASL online archive of teaching datasets, his understanding of using and teaching with technology informs much of the book's approach. David Bock (Cornell University) won awards as a high school teacher of AP calculus and statistics and was a grader for the AP Statistics program from its inception. He is now the chief extension officer for the Cornell University mathematics department in charge of outreach to K-12 teachers. Dave's wisdom about how students learn helps to shape the book's pedagogy.

Innehållsförteckning

Preface

Index of Applications

 

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 SummaryWhat 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

 

Review of Part I: Exploring and Understanding Data

 

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 R2The 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

 

Review of Part II: Exploring Relationships Between Variables

 

Part III. Gathering Data

 

9. Understanding Randomness

9.1 What is Randomness?

9.2 Simulating By Hand

 

10. Sample Surveys

10.1 The Three Big Ideas of Sampling

10.2 Populations and Parameters

10.3 Simple Random Samples

10.4 Other Sampling Designs

10.5 From the Population to the Sample: You Can't Always Get What You Want

10.6 The Valid Survey

10.7 Common Sampling Mistakes, or How to Sample Badly

 

11. Experiments and Observational Studies

11.1 Observational Studies