Share

# Statistics for People Who (Think They) Hate Statistics - Interactive eBook

Seventh Edition

- Neil J. Salkind
- Bruce B. Frey - University of Kansas, USA

July 2019 | SAGE Publications, Inc

**This Interactive eBook includes access to SAGE Premium Video and much more!**

**STUDENTS: Still need to purchase your eBook access code?**

**For instant access**, get your copy of this interactive eBook at vitalsource.com.**Prefer a shipped option?**Click on the "BUY NOW" button on this page and select the “Slim Pack” (shipped access code) version from the drop-down menu. Your interactive eBook access code will be shipped to the address you indicate in your order form. Please note: shipping fees apply. You will have 180 days of access with this Slim Pack option.

**INSTRUCTORS: Bundle and save!**

**Order using bundle ISBN:**978-1-5443-9339-1*Note*: Instant access is not available with interactive eBook + print bundles. All bundles will ship with the print version and corresponding interactive eBook 180-day rental access code information (slim pack).

This dynamic, mobile-friendly interactive eBook version of *Statistics for People Who (Think They) Hate Statistics, 7e* goes way beyond highlighting and note-taking, giving you access to SAGE Premium Video—curated and produced specifically for this text. Simply click on icons in the eBook to experience a broad array of multimedia features, including:

**VIDEO**: Boost learning and bolster analysis with SAGE Premium Video. Recapping the fundamentals in every chapter, video activities are paired with chapter learning objectives and tied to assessment via SAGE coursepacks. Videos include animated Core Concepts in Stats Videos, Lightboard Lecture Videos with Bruce B. Frey, and tutorial videos for end-of-chapter of SPSS^{®}problems.**AUDIO**: Listen to engaging podcasts and audio resources that supplement and enrich key points within the text.**OFFLINE READING**: Using the VitalSource Bookshelf® platform, download your book to a personal computer and read it offline.**SOCIAL SHARING AND FOLLOWING**: Share notes and highlights with instructors and classmates who are using the same eBook, and “follow” friends and instructors as they make their own notes and highlights.

**Need a Personalized Demo? **Contact your sales representative today.

A Note to the Student: Why We Wrote This Book

Acknowledgements

And Now, About the Seventh Edition

About the Authors

Part I: Yippee! I'm in Statistics!

Chapter 1. Statistics or Sadistics? It’s Up to You

What You Will Learn in This Chapter |

Why Statistics? |

A 5-Minute History of Statistics |

Statistics: What It Is (and Isn’t) |

What Am I Doing in a Statistics Class? |

Ten Ways to Use This Book (and Learn Statistics at the Same Time!) |

About the Book’s Features |

Key to Difficulty Icons |

Glossary |

Summary |

Part II: Zigma Freud and Descriptive Statistics

Chapter 2. Computing and Understanding Averages: Means to an End

What You Will Learn in This Chapter |

Computing the Mean |

Computing the Median |

Computing the Mode |

When to Use What Measure of Central Tendency (and All You Need to Know About Scales of Measurement for Now) |

Using SPSS to Compute Descriptive Statistics |

Real-World Stats |

Summary |

Time to Practice |

Chapter 3. Understanding Variability: Vivé la Différence

What You Will Learn in This Chapter |

Why Understanding Variability Is Important |

Computing the Range |

Computing the Standard Deviation |

Computing the Variance |

Using SPSS to Compute Measures of Variability |

Real-World Stats |

Summary |

Time to Practice |

Chapter 4. Creating Graphs: A Picture Really Is Worth a Thousand Words

What You Will Learn in This Chapter |

Why Illustrate Data? |

Ten Ways to a Great Figure (Eat Less and Exercise More?) |

First Things First: Creating a Frequency Distribution |

The Plot Thickens: Creating a Histogram |

The Next Step: A Frequency Polygon |

Other Cool Ways to Chart Data |

Using the Computer (SPSS, That Is) to Illustrate Data |

Real-World Stats |

Summary |

Time to Practice |

Chapter 5. Computing Correlation Coefficients: Ice Cream and Crime

What You Will Learn in This Chapter |

What Are Correlations All About? |

Computing a Simple Correlation Coefficient |

Understanding What the Correlation Coefficient Means |

Squaring the Correlation Coefficient: A Determined Effort |

Other Cool Correlations |

Parting Ways: A Bit About Partial Correlation |

Real-World Stats |

Summary |

Time to Practice |

Chapter 6. An Introduction to Understanding Reliability and Validity: Just the Truth

What You Will Learn in This Chapter |

An Introduction to Reliability and Validity |

Reliability: Doing It Again Until You Get It Right |

Different Types of Reliability |

How Big Is Big? Finally: Interpreting Reliability Coefficients |

Validity: Whoa! What Is the Truth? |

A Last Friendly Word |

Validity and Reliability: Really Close Cousins |

Real-World Stats |

Summary |

Time to Practice |

Part III: Taking Chances for Fun and Profit

Chapter 7. Hypotheticals and You: Testing Your Questions

What You Will Learn in This Chapter |

So You Want to Be a Scientist?.?.?. |

Samples and Populations |

The Null Hypothesis |

The Research Hypothesis |

What Makes a Good Hypothesis? |

Real-World Stats |

Summary |

Time to Practice |

Chapter 8. Probability and Why it Counts: Fun with a Bell-Shaped Curve

What You Will Learn in This Chapter |

Why Probability? |

The Normal Curve (a.k.a. the Bell-Shaped Curve) |

Our Favorite Standard Score: The z Score |

Fat and Skinny Frequency Distributions |

Real-World Stats |

Summary |

Time to Practice |

Part IV Significantly Different: Using Inferential Statistics

Chapter 9. Significantly Significant: What It Means for You and Me

What You Will Learn in This Chapter |

The Concept of Significance |

Significance Versus Meaningfulness |

An Introduction to Inferential Statistics |

An Introduction to Tests of Significance |

Be Even More Confident |

Real-World Stats |

Summary |

Time to Practice |

Chapter 10. The One-Sample Z Test: Only the Lonely

What You Will Learn in This Chapter |

Introduction to the One-Sample Z Test |

The Path to Wisdom and Knowledge |

Computing the Z Test Statistic |

Using SPSS to Perform a Z Test |

Special Effects: Are Those Differences for Real? |

Real-World Stats |

Summary |

Time to Practice |

Chapter 11. t(ea) for Two: Tests Between the Means of Different Groups

What You Will Learn in This Chapter |

Introduction to the t Test for Independent Samples |

The Path to Wisdom and Knowledge |

Computing the t Test Statistic |

The Effect Size and t(ea) for Two |

Using SPSS to Perform a t Test |

Real-World Stats |

Summary |

Time to Practice |

Chapter 12. t(ea) for Two (Again): Tests Between the Means of Related Groups

What You Will Learn in This Chapter |

Introduction to the t Test for Dependent Samples |

The Path to Wisdom and Knowledge |

Computing the t Test Statistic |

Using SPSS to Perform a Dependent t Test |

The Effect Size for t(ea) for Two (Again) |

Real-World Stats |

Summary |

Time to Practice |

Chapter 13. Two Groups Too Many? Try Analysis of Variance

What You Will Learn in This Chapter |

Introduction to Analysis of Variance |

The Path to Wisdom and Knowledge |

Different Flavors of Analysis of Variance |

Computing the F Test Statistic |

Using SPSS to Compute the F Ratio |

The Effect Size for One-Way ANOVA |

Real World Stats |

Summary |

Time to Practice |

Chapter 14. Two Too Many Factors: Factorial Analysis of Variance—A Brief Introduction

What You Will Learn in This Chapter |

Introduction to Factorial Analysis of Variance |

The Path to Wisdom and Knowledge |

A New Flavor of ANOVA |

The Main Event: Main Effects in Factorial ANOVA |

Even More Interesting: Interaction Effects |

Using SPSS to Compute the F Ratio |

Computing the Effect Size for Factorial ANOVA |

Real World Stats |

Summary |

Time to Practice |

Chapter 15. Testing Relationships Using the Correlation Coefficient: Cousins or Just Good Friends?

What You Will Learn in This Chapter |

Introduction to Testing the Correlation Coefficient |

The Path to Wisdom and Knowledge |

Computing the Test Statistic |

Using SPSS to Compute a Correlation Coefficient (Again) |

Real World Stats |

Summary |

Time to Practice |

Chapter 16. Using Linear Regression: Predicting the Future

What You Will Learn in This Chapter |

Introduction to Linear Regression |

What Is Prediction All About? |

The Logic of Prediction |

Drawing the World’s Best Line (for Your Data) |

How Good Is Your Prediction? |

Using SPSS to Compute the Regression Line |

The More Predictors the Better? Maybe |

Real-World Stats |

Summary |

Time to Practice |

Part V: More Statistics! More Tools! More Fun!

Chapter 17. Chi-Square and Some Other Nonparametric Tests: What to Do When You’re Not Normal

What You Will Learn in This Chapter |

Introduction to Nonparametric Statistics |

Introduction to the Goodness of Fit (One-Sample) Chi-Square |

Computing the Goodness of Fit Chi-Square Test Statistic |

Introduction to the Test of Independence Chi-Square |

Computing the Test of Independence Chi-Square Test Statistic |

Using SPSS to Perform Chi-Square Tests |

Other Nonparametric Tests You Should Know About |

Real-World Stats |

Summary |

Time to Practice |

Chapter 18. Some Other (Important) Statistical Procedures You Should Know About

What You Will Learn in This Chapter |

Multivariate Analysis of Variance |

Repeated Measures Analysis of Variance |

Analysis of Covariance |

Multiple Regression |

Meta-analysis |

Discriminant Analysis |

Factor Analysis |

Path Analysis |

Structural Equation Modeling |

Summary |

Chapter 19. Data Mining: An Introduction to Getting the Most Out of Your BIG Data

What You Will Learn in This Chapter |

Our Sample Data Set—Who Doesn’t Love Babies? |

Counting Outcomes |

Pivot Tables and Cross-Tabulation: Finding Hidden Patterns |

Summary |

Time to Practice |

Appendix A

Appendix B

Appendix C

Appendix D

Appendix E

Appendix F

Appendix G

Appendix H

Appendix I

Glossary