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Essentials of Social Statistics for a Diverse Society
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Essentials of Social Statistics for a Diverse Society

Fourth Edition
Additional resources:


September 2020 | 456 pages | SAGE Publications, Inc
Essentials of Social Statistics for a Diverse Society is a briefer version of the successful Social Statistics for a Diverse Society, and as in the parent text, the use of real data about contemporary social issues sets this book apart from others in the field. The text explains how to compute and interpret basic descriptive and inferential statistics while teaching and reinforcing important sociological concepts. In every chapter, the authors demonstrate how statistics is an important tool for studying and understanding the role of race, class, gender, and other statuses in a pluralistic society like the United States.

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Preface
 
Acknowledgments
 
About the Authors
 
Chapter 1: The What and the Why of Statistics
The Research Process

 
Asking Research Questions

 
The Role of Theory

 
Formulating the Hypotheses

 
Collecting Data

 
Analyzing Data and Evaluating the Hypotheses

 
Examining a Diverse Society

 
 
Chapter 2: The Organization and Graphic Presentation of Data
Frequency Distributions

 
Proportions and Percentages

 
Percentage Distributions

 
The Construction of Frequency Distributions

 
Cumulative Distributions

 
Rates

 
Bivariate Tables

 
How to Construct a Bivariate Table

 
How to Compute Percentages in a Bivariate Table

 
Graphic Presentation of Data

 
The Pie Chart

 
The Bar Graph

 
The Histogram

 
The Line Graph

 
The Time-Series Chart

 
Statistics in Practice: Foreign-Born Population 65 Years and Over

 
 
Chapter 3: Measures of Central Tendency and Variability
Measures of Central Tendency

 
Measures of Variability

 
 
Chapter 4: The Normal Distribution
Properties of the Normal Distribution

 
An Application of the Normal Curve

 
The Standard Normal Distribution

 
The Standard Normal Table

 
Reading the Research Literature: Child Health and Academic Achievement

 
 
Chapter 5: Sampling and Sampling Distributions
Aims of Sampling

 
Basic Probability Principles

 
Probability Sampling

 
The Concept of the Sampling Distribution

 
The Sampling Distribution of the Mean

 
The Central Limit Theorem

 
Statistics in Practice: The 2016 U.S. Presidential Election

 
 
Chapter 6: Estimation
Point and Interval Estimation

 
Confidence Intervals for Means

 
Statistics in Practice: Hispanic Migration and Earnings

 
Confidence Intervals for Proportions

 
Reading the Research Literature: Women Victims of Intimate Violence

 
 
Chapter 7: Testing Hypotheses
Assumptions of Statistical Hypothesis Testing

 
Stating the Research and Null Hypotheses

 
Probability Values and Alpha

 
The Five Steps in Hypothesis Testing: A Summary

 
Errors in Hypothesis Testing

 
Hypothesis Testing With One Sample and Population Variance Unknown

 
Hypothesis Testing With Two Sample Means

 
The Sampling Distribution of the Difference Between Means

 
The Five Steps in Hypothesis Testing About Difference Between Means: A Summary

 
Statistics in Practice: Vape Use Among Teens

 
Hypothesis Testing With Two Sample Proportions

 
Reading the Research Literature: Reporting the Results of Hypothesis Testing

 
 
Chapter 8: The Chi-Square Test and Measures of Association
The Concept of Chi-Square as a Statistical Test

 
The Concept of Statistical Independence

 
The Structure of Hypothesis Testing With Chi-Square

 
Statistics in Practice: Respondent and Mother Education

 
Proportional Reduction of Error

 
Lambda: A Measure of Association for Nominal Variables

 
Cramer’s V: A Chi-Square-Related Measure of Association for Nominal Variables

 
Gamma and Kendall’s Tau-b: Symmetrical Measures of Association for Ordinal Variables

 
Reading the Research Literature: India’s Internet-Using Population

 
 
Chapter 9: Analysis of Variance
Understanding Analysis of Variance

 
The Structure of Hypothesis Testing With ANOVA

 
The Five Steps in Hypothesis Testing: A Summary

 
Statistics in Practice: The Ethical Consumer

 
Reading the Research Literature: College Satisfaction Among Latino Students

 
 
Chapter 10: Regression and Correlation
The Scatter Diagram

 
Linear Relationships and Prediction Rules

 
A Negative Relationship: Age and Internet Hours per Week

 
Methods for Assessing the Accuracy of Predictions

 
Testing the Significance of r2 Using ANOVA

 
Statistics in Practice: Multiple Regression and ANOVA

 
Reading the Research Literature: Academic Intentions and Support

 
 
Appendix A. Table of Random Numbers
 
Appendix B. The Standard Normal Table
 
Appendix C. Distribution of t
 
Appendix D. Distribution of Chi-Square
 
Appendix E. Distribution of F
 
Appendix F. Basic Math Review (on the website*)
 
Learning Check Solutions
 
Answers to Odd-Numbered Exercises
 
Glossary
 
Notes
 
Index

Supplements

Instructor Resource Site
edge.sagepub.com/ssdess4e
Instructor Teaching Site (Password Protected)
SAGE Edge for Instructors
, supports your teaching by making it easy to integrate quality content and create a rich learning environment for students.
  • Test banks in Microsoft Word, and also LMS-ready, provide a diverse range of pre-written options as well as the opportunity to edit any question and/or insert your own personalized questions to effectively assess students’ progress and understanding
  • Editable, chapter-specific PowerPoint® slides offer complete flexibility for creating a multimedia presentation for your course
  • Answers to even-numbered end-of-chapter questions from the book, and answers to the problems in the SPSS and Excel demonstrations included on the student study site.
  • Datasets and codebooks
  • SPSS and Excel demonstrations and problems to accompany each chapter


Student Study Site
Student Study Site (Open Access)
 
SAGE Edge for Students provides a personalized approach to help students accomplish their coursework goals in an easy-to-use learning environment.
  • Mobile-friendly eFlashcards strengthen understanding of key terms and concepts
  • SPSS and Excel walk-through videos
  • SPSS and Excel demonstrations and problems to accompany each chapter reinforce the most important material
  • Basic Math Review allows for independent assessment by students of their mastery of course material
  • GSS datasets and codebooks tied to the chapters in the book are included

For instructors