The Joy of Stats: A Short Guide to Introductory Statistics in the Social Sciences, Second Edition
© 2010
As a standalone text, a selfstudy manual, or a supplement to a lab manual or comprehensive text, The Joy of Stats is a unique and versatile resource. A "Math Refresher" section and selfassessment test offer a concise review of the needed math background. A "HowTo?" section provides short, handy summaries of data analysis techniques and explains when to apply them. Each chapter offers key terms, numerous examples—including realworld data—practice exercises and answers, and verbal algorithms as well as formulas. The result is an unrivalled guide for students of social science as well as for practitioners and policymakers.
The second edition has been revised throughout and includes many new examples. A new companion website, garnerjoyofstats.com, features a data set covering close to 120 countries and 10 variables, student exercises, and a full suite of instructor support materials, including power points for lectures, lab guides, and a test bank.
For more information visit www.garnerjoyofstats.com.
Product Details
 World Rights
 Page Count: 352 pages
 Dimensions: 7.1in x 0.7in x 9.1in

Reviews
This is a great book for social science students.... It introduces them to a whole new way of looking at numbers along with realworld applications. Clearly written, with many examples, Garner's The Joy of Stats certainly makes learning and teaching introductory statistics a joy!
Nikolaos Liodakis, Wilfrid Laurier UniversityThe Joy of Stats is indeed a joy to use in the classroom. The book is approachable, thorough without being overwhelming and with the right balance of specific examples and general principles. I've used it many times for a third year methods course and will continue to do so, particularly with the additional material in this new edition.
Philippe Couton, University of Ottawa 
Author Information
Roberta Garner is Professor of Sociology at DePaul University in Chicago. She is the author of The Joy of Stats: A Short Guide to Introductory Statistics in the Social Sciences, Second Edition (2010). She teaches courses on theory, research design, statistics, and Greek mythology. 
Table of contents
List of Figures and Tables
Acknowledgments
Preface
Chapter One: Basic Concepts
Part I: Variables
Level of Measurement
Dichotomous Variables
Operationalized Variables
Independent (IV) and Dependent (DV) Variables
Causality
Units of Analysis: Individual and Placelevel Data
Part II: Thinking about Procedures
Descriptive and Inferential Statistics
Difference
Observing and Estimating
Conclusion
Key terms
Chapter Two: Describing Distributions
Part I: Frequency DistributionsPart II: Summary Measures
Measures of Central Tendency (Mean, Median, Mode)
Measures of Dispersion (or Variability)
Categoric Variables: Index of Diversity and Index of Qualitative Variation
Part III: Graphing and Visual Displays of DistributionsPart IV: Standardized Scores or Zscores
The Mathematical Imagination: The Magic of Zscores
Math Interlude: Chebycheff's Inequality
Conclusion
Key Terms
Chapter Three: Statistical Inference
Part I: Thinking about Statistical Inference
Statistical Inference: What Are We Trying To Do?
Variability
The Mathematical Imagination: A World Without Variability
The Normal Curve
The Mathematical Imagination: Mild and Wild Randomness
Sampling Distributions and the Normal Curve
Sampling Error: Variability of the Sampling Distribution
The Central Limit Theorem
Math Thoughts
Underlying Distributions and Sampling Distributions
The Sampling Distribution of a Proportion
Part II: Doing Statistical Inference
The Logic of Statistical Inference
Confidence Intervals
Hypothesis Testing (The Null Hypothesis and Ttests)
Conclusion
Key Terms
Chapter Four: Relationships Among Variables
Part I: An Overview  Thinking About Variable Relationships
Four Types of Data Analysis Techniques
Beyond Bivariate Analysis: Adding Variables and Staying Alert
Part II: Data Analysis Techniques
Section One: Regression Analysis
Math Interlude: The Natural Log Transformation
Section Two: Crosstabs
Section Three: ANOVA
Section Four: Logistic Regression
Conclusion
Key Terms
Conclusion
How To?
Choosing a Data Analysis Technique
Regression Analysis
Pearson's Correlation Coefficient
The Bivariate Regression Equation
Coefficient of Determination (aka "Rsquared")
Crosstabs and Related Procedures
Computing ChiSquare
Joint and Marginal Distributions
More about Running Percentages
Measures of Association
ANOVA and the Ftest
Ttests
OneSample Ttest
Independent Samples Ttest
Exercises
Questions
Answers
Math Refresher
Tips for Studying Math
Estimating
From Common Sense to Formula
The Number Line
Greater and Lesser
Absolute Value
Fractions and Other Proportions
Decimal Fractions
Percent
Comparing Fractions
Computing Percent Change and Percentage Point Change
Operations
Addition
Multiplication
Subtraction
Division
Word or Story Problems
Squaring, Higher Powers, and Square Roots
Squaring
Higher Powers
Square Roots
Scientific Notation
Manipulating Formulas
The Coordinate Plane, Ordered Pairs, and Functions
Appendix
Tables of Probability Distributions
Table 26: Critical Values for the Zdistribution
Table 27: Critical Values for the Tdistribution
Table 28: Critical Values for the ChiSquare Distribution
Table 29: Critical Values for the Fdistribution
Bibliography, Reading Suggestions, and Works Cited
Index

Subjects and Courses