The Joy of Stats: A Short Guide to Introductory Statistics in the Social Sciences, Second Edition

By Roberta Garner

© 2010

As a stand-alone text, a self-study 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 self-assessment test offer a concise review of the needed math background. A "How-To?" section provides short, handy summaries of data analysis techniques and explains when to apply them. Each chapter offers key terms, numerous examples—including real-world 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 policy-makers.

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.

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Product Details

  • World Rights
  • Page Count: 352 pages
  • Dimensions: 7.1in x 0.7in x 9.1in
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SKU# HE000377

  • PUBLISHED JUL 2010

    From: $47.60

    Regular Price: $56.00

    ISBN 9781442601888
  • PUBLISHED JUL 2010
    From: $46.95

Quick Overview

"This is a great book for social science students. Clearly written, with many examples, Garner certainly makes learning and teaching introductory statistics a joy!" - Nikolaos Liodakis, Wilfrid Laurier University

The Joy of Stats: A Short Guide to Introductory Statistics in the Social Sciences, Second Edition

By Roberta Garner

© 2010

As a stand-alone text, a self-study 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 self-assessment test offer a concise review of the needed math background. A "How-To?" section provides short, handy summaries of data analysis techniques and explains when to apply them. Each chapter offers key terms, numerous examples—including real-world 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 policy-makers.

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.

Continue Reading Read Less

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 real-world 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 University

    The 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 Place-level Data

    Part II: Thinking about Procedures

    Descriptive and Inferential Statistics
    Difference
    Observing and Estimating

    Conclusion
    Key terms

    Chapter Two: Describing Distributions

    Part I: Frequency Distributions

    Part 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 Distributions

    Part IV: Standardized Scores or Z-scores

    The Mathematical Imagination: The Magic of Z-scores
    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 T-tests)

    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 "R-squared")

    Crosstabs and Related Procedures

    Computing Chi-Square
    Joint and Marginal Distributions
    More about Running Percentages
    Measures of Association

    ANOVA and the F-test
    T-tests

    One-Sample T-test
    Independent Samples T-test

    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 Z-distribution
    Table 27: Critical Values for the T-distribution
    Table 28: Critical Values for the Chi-Square Distribution
    Table 29: Critical Values for the F-distribution

    Bibliography, Reading Suggestions, and Works Cited

    Index

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