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Essentials of Social Statistics for a Diverse Society

Essentials of Social Statistics for a Diverse Society

Fourth Edition
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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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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


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


Instructor Resource Site
Instructor Teaching Site (Password Protected)
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  • 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 all 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

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