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The Joy of Stats Roberta Garner

The Joy of Stats By Roberta Garner

The Joy of Stats by Roberta Garner

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Summary

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 Summary

The Joy of Stats: A Short Guide to Introductory Statistics in the Social Sciences by Roberta Garner

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.

About Roberta Garner

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

Additional information

GOR013536756
9781442601888
1442601884
The Joy of Stats: A Short Guide to Introductory Statistics in the Social Sciences by Roberta Garner
Roberta Garner
Used - Like New
Paperback
University of Toronto Press
20100701
352
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
The book has been read, but looks new. The book cover has no visible wear, and the dust jacket is included if applicable. No missing or damaged pages, no tears, possible very minimal creasing, no underlining or highlighting of text, and no writing in the margins

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