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Statistics for People Who (Think They) Hate Statistics

Statistics for People Who (Think They) Hate Statistics

Seventh Edition
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August 2019 | 512 pages | SAGE Publications, Inc
Now in its Seventh Edition, Neil J. Salkind’s bestselling Statistics for People Who (Think They) Hate Statistics with new co-author Bruce B. Frey teaches an often intimidating subject with a humorous, personable, and informative approach that reduces statistics anxiety. With instruction in SPSS®, the authors guide students through basic and advanced statistical procedures, from correlation and graph creation to analysis of variance, regression, non-parametric tests, and more.  The Seventh Edition includes new real-world examples, additional coverage on multiple regression and power and effect size, and a robust interactive eBook with video tutorials and animations of key concepts. In the end, students who (think they) hate statistics will understand how to explain the results of many statistical analyses and won’t be intimidated by basic statistical tasks. 

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Included in the Interactive eBook! SAGE Premium Video tools and resources boost comprehension and bolster analysis. Videos include animated Core Concepts in Stats Videos, Lightboard Lecture Videos from Bruce B. Frey, and tutorial videos for end-of-chapter of SPSS problems. Learn more.  

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A Note to the Student: Why We Wrote This Book
And Now, About the Seventh Edition . . .
About the Authors
Chapter 1 • Statistics or Sadistics? It’s Up to You
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  
Time to Practice  
Chapter 2 • Computing and Understanding Averages: Means to an End
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  
Time to Practice  
Chapter 3 • Understanding Variability: Vive la Différence
Why Understanding Variability Is Important  
Computing the Range  
Computing the Standard Deviation  
Computing the Variance  
Using SPSS to Compute Measures of Variability  
Time to Practice  
Chapter 4 • Creating Graphs: A Picture Really Is Worth a Thousand Words
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  
Time to Practice  
Chapter 5 • Computing Correlation Coefficients: Ice Cream and Crime
What Are Correlations All About?  
Computing a Simple Correlation Coefficient  
Squaring the Correlation Coefficient: A Determined Effort  
Other Cool Correlations  
Parting Ways: A Bit About Partial Correlation  
Time to Practice  
Chapter 6 • An Introduction to Understanding Reliability and Validity: Just the Truth
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  
Time to Practice  
Chapter 7 • Hypotheticals and You: Testing Your Questions
So You Want to Be a Scientist  
Samples and Populations  
The Null Hypothesis  
The Research Hypothesis  
What Makes a Good Hypothesis?  
Time to Practice  
Chapter 8 • Probability and Why It Counts: Fun With a Bell-Shaped Curve
Why Probability?  
The Normal Curve (aka the Bell-Shaped Curve)  
Our Favorite Standard Score: The z Score  
Fat and Skinny Frequency Distributions  
Time to Practice  
Chapter 9 • Significantly Significant: What It Means for You and Me
The Concept of Significance  
Significance Versus Meaningfulness  
An Introduction to Inferential Statistics  
An Introduction to Tests of Significance  
Be Even More Confident  
Time to Practice  
Chapter 10 • The One-Sample z Test: Only the Lonely
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?  
Time to Practice  
Chapter 11 • t(ea) for Two: Tests Between the Means of Different Groups
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  
Time to Practice  
Chapter 12 • t(ea) for Two (Again): Tests Between the Means of Related Groups
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)  
Time to Practice  
Chapter 13 • Two Groups Too Many? Try Analysis of Variance
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  
Time to Practice  
Chapter 14 • Two Too Many Factors: Factorial Analysis of Variance—A Brief Introduction
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  
Time to Practice  
Chapter 15 • Testing Relationships Using the Correlation Coefficient: Cousins or Just Good Friends?
Introduction to Testing the Correlation Coefficient  
The Path to Wisdom and Knowledge  
Computing the Test Statistic  
Using SPSS to Compute a Correlation Coefficient (Again)  
Time to Practice  
Chapter 16 • Using Linear Regression: Predicting the Future
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  
Time to Practice  
Chapter 17 • Chi-Square and Some Other Nonparametric Tests: What to Do When You’re Not Normal
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  
Time to Practice  
Chapter 18 • Some Other (Important) Statistical Procedures You Should Know About
Multivariate Analysis of Variance  
Repeated-Measures Analysis of Variance  
Analysis of Covariance  
Multiple Regression  
Discriminant Analysis  
Factor Analysis  
Path Analysis  
Structural Equation Modeling  
Chapter 19 • Data Mining: An Introduction to Getting the Most Out of Your BIG Data
Our Sample Data Set—Who Doesn’t Love Babies?  
Counting Outcomes  
Pivot Tables and Cross-Tabulation: Finding Hidden Patterns  
Time to Practice  
Appendix A: SPSS Statistics in Less Than 30 Minutes
Appendix B: Tables
Appendix C: Data Sets
Appendix D: Answers to Practice Questions
Appendix E: Math: Just the Basics
Appendix F: A Statistical Software Sampler
Appendix G: The 10 (or More) Best (and Most Fun) Internet Sites for Statistics Stuff
Appendix H: The 10 Commandments of Data Collection
Appendix I: The Reward: The Brownie Recipe


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“ . . . Salkind and Frey’s Statistics for People Who (Think They) Hate Statistics, Seventh Edition, takes the worrisome topic of statistics and turns it into an enjoyable enterprise.”

Amanda Graham
University of Cincinnati

“Of all the statistics textbooks that I have reviewed, Statistics for People Who (Think They) Hate Statistics is by far the best.”

Brittany Landrum
University of Dallas

[Statistics for People Who (Think They) Hate Statistics] eases students into concepts with clear intention for each chapter and prompts them to connect everything they've learned.”

Russell Brandon
Mississippi State University

“This [Seventh Edition] continues to be the best textbook for students not comfortable with statistics. While not sacrificing depth, the text makes difficult topics approachable. This texts meets my students where they are and allows them to gain the needed knowledge and appreciation of statistics.”

Christopher Ortega
Cortland University

“In its Seventh Edition, Salkind and Frey’s book provides a scaffolding journey for anyone that has a desire to learn the principles of statistics. This book begins with a foundation of defining the rudimentary principles of measurement, explains the principles of descriptive statistics, and disentangles the challenging principles of hypothesis testing and inferential statistics. It uses a very easy reading format, and it contains clear instructions to running all statistical procedures in SPSS®. The book has an amazing retrieval system of resources (data sets, problem exercises and more) that revitalizes teaching and learning. Therefore, I recommend this book without reservation.” 

Tyrone Bynoe
University of Michigan – Flint

“Two of my favorite statistical authors being together in one book may be a dream come true. Both Salkind's and Frey's texts have been a survival manual both for me and for my students. There are very few texts that carry both the weight of statistical grandeur along with the depth of content like this new text does. This is a masterpiece of statistical reference data that meshes the best parts of both authors and fills in the gap following the passing of Salkind. I can't wait to get this new text into the hands of my students and I know that this new book is going to become a foundational pillar in all of my classes.”

Jesse Buchholz
Northwest Nazarene University

“This book has a successful conversion mission. Indeed, it succeeds in converting statistics-shy students into statistics-savvy ardent learners. The re-appearance of this mind-catching treasure is a major plus in the effective teaching and easy learning of an introductory course in descriptive and inferential statistics.”

Abdol Abdollahy Zarandi
University of Texas at El Paso

“Salkind and Frey have written an informative and comprehensive text for the introductory statistics course that is also funny and disarming.  My graduate students - many of whom exhibit an initial wariness toward math courses and long-dormant math skills - have found it to be an unexpected pleasure and an accessible read.”

Diana Dansereau
Boston University

“Many students appear unaware that they are using statistics and research methods in their daily lives. When I mention statistics in the research methods course, some get very anxious and remind me that they are not ‘math people.’ Statistics for People Who (Think They) Hate Statistics is a helpful supplemental text for a research methods course. It provides a different perspective regarding how statistics are used and helps students retrieve and build on their statistics knowledge. The text uses humor and interesting examples and helps illustrate why certain research issues are important.”

Adele Crudden
Mississippi State University

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