You are here

Statistics for People Who (Think They) Hate Statistics - International Student Edition
Share

Statistics for People Who (Think They) Hate Statistics - International Student Edition

Seventh Edition


September 2019 | SAGE Publications, Inc

The bestselling Statistics for People Who (Think They) Hate Statistics is now in its Seventh Edition with new co-author Bruce B. Frey. This text teaches an often intimidating and difficult subject in a way that is informative, personable, and clear. The authors take students through various statistical procedures, beginning with correlation and graphical representation of data and ending with inferential techniques and analysis of variance. In addition, the text provides instruction in SPSS, and includes reviews of more advanced techniques, such as reliability, validity, introductory non-parametric statistics, and more.

The new seventh edition includes: 

  • Retaining the student-friendly tone and presentation that made this text an international bestseller, new co-author Bruce Frey has added new examples, and reworked or expanded the explanations of many concepts to provide extra clarity.
  • A key feature called "The Path to Wisdom and Knowledge": a flowchart in each of the main chapters showing readers how to select the appropriate test statistic. 
  • More on multiple regression, power and effect size, and a new feature on statisticians throughout history called "People (Who Liked) Statistics". 

 
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

Preview this book

For instructors

This book is not available as an inspection copy. For more information contact your local sales representative.

Select a Purchasing Option


ISBN: 9781544387604
£66.99