Fler böcker inom
Format
Mixed media product
Språk
Engelska
Antal sidor
864
Utgivningsdatum
2013-07-29
Upplaga
4
Förlag
Pearson
Medarbetare
Velleman, Paul F. / Bock, David E.
Antal komponenter
2
Komponenter
Paperback (1), CD-ROM (1)
ISBN
9781292022505

# Intro Stats: Pearson New International Edition

Mixed media product Engelska, 2013-07-29
599
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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.

## Passar bra ihop

1. +

De som köpt den här boken har ofta också köpt Stats: Data and Models, Global Edition av Richard D De Veaux (häftad).

## 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

3.5 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

4.5 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