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

Seventh Edition


July 2019 | SAGE Publications, Inc

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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
Key features

NEW TO THIS EDITION:

  • Retaining the student-friendly tone and presentation that made this text an international bestseller, new co-author Bruce B. Frey has added new real-world examples, and revised or expanded the explanations of many concepts for additional clarity.
  • This edition includes more on multiple regression, power and effect size, and a new feature on statisticians throughout history called "People (Who Liked) Statistics."
  • Special Effects teaches the appropriate effect size to report and how to interpret it.
  • Contemporary publication standards (e.g. APA style) encourages reporting effect sizes in addition to significance.
  • This edition includes a greater focus on the importance of level of measurement in choosing a statistical procedure.
  • Additional discussion about contemporary approaches to research and defining variables (e.g. treating gender as a continuous variable, not as binary or categorical) has been added.
  • Some chapters that cover broad areas are now appendices that can be referenced as needed.
  • Videos in the free Interactive eBook available with the text to expand the learning experience include animated Core Concepts in Stats Videos, Lightboard Lecture Videos with Bruce B. Frey, and tutorial videos for end-of-chapter of SPSS®problems.

 

KEY FEATURES:

  • “The Path to Wisdom and Knowledge” flowcharts help students learn how to select the appropriate statistical test in the core chapters covering inferential statistics and serve as an especially helpful resource for visual learners.
  • Data sets in SPSS® give students ample practice opportunities for statistical software analysis.
  • Helpful icons highlight information that goes beyond the regular text, offer technical ideas and tips, provide step-by-step directions for processes, reinforce important points, and show students how to use the computer to perform select statistical tests.
  • A comprehensive glossary allows students to reference important terms.
  • Appendix A offers a 30-minute tutorial on using SPSS® to get students up and running quickly.
  • Appendix E provides a refresher on basic arithmetic operations and accompanying exercises to help students reinforce the basics before they get into the statistical content.
  • A supplemental study guide includes more examples and exercises for additional hands-on practice. Discipline-specific versions of the study guide are available for Psychology, Education, and Health and Nursing.

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