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
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
Part II: Zigma Freud and Descriptive Statistics
Chapter 2. Computing and Understanding Averages: Means to an End
What You Will Learn in This Chapter
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
Chapter 3. Understanding Variability: Vivé la Différence
What You Will Learn in This Chapter
Why Understanding Variability Is Important
Computing the Standard Deviation
Using SPSS to Compute Measures of Variability
Chapter 4. Creating Graphs: A Picture Really Is Worth a Thousand Words
What You Will Learn in This Chapter
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
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
Parting Ways: A Bit About Partial Correlation
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?
Validity and Reliability: Really Close Cousins
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?.?.?.
What Makes a Good Hypothesis?
Chapter 8. Probability and Why it Counts: Fun with a Bell-Shaped Curve
What You Will Learn in This Chapter
The Normal Curve (a.k.a. the Bell-Shaped Curve)
Our Favorite Standard Score: The z Score
Fat and Skinny Frequency Distributions
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
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?
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
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)
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
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
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
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)
Chapter 16. Using Linear Regression: Predicting the Future
What You Will Learn in This Chapter
Introduction to Linear Regression
What Is Prediction All About?
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
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
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
Structural Equation Modeling
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?
Pivot Tables and Cross-Tabulation: Finding Hidden Patterns
Appendix A
Appendix B
Appendix C
Appendix D
Appendix E
Appendix F
Appendix G
Appendix H
Appendix I
Glossary