ISBN-10:
1442601884
ISBN-13:
9781442601888
Pub. Date:
07/01/2010
Publisher:
University of Toronto Press, Higher Education Division
The Joy of Stats: A Short Guide to Introductory Statistics in the Social Sciences, Second Edition / Edition 2

The Joy of Stats: A Short Guide to Introductory Statistics in the Social Sciences, Second Edition / Edition 2

by Roberta GarnerRoberta Garner
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Overview

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.

Product Details

ISBN-13: 9781442601888
Publisher: University of Toronto Press, Higher Education Division
Publication date: 07/01/2010
Edition description: second edition
Pages: 352
Sales rank: 559,421
Product dimensions: 7.00(w) x 8.90(h) x 0.70(d)

About the Author

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

What People are Saying About This

Nikolaos Liodakis

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!

Philippe Couton

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.

From the Publisher

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!

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.

Customer Reviews