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Essentials of Social Statistics for a Diverse Society

Essentials of Social Statistics for a Diverse Society

Third Edition
Experience with SAGE edge

December 2017 | 464 pages | SAGE Publications, Inc

Essentials of Social Statistics for a Diverse Society, Third Edition is a briefer, less expensive version of the successful Social Statistics for a Diverse Society. As in the parent text, the context of diversity, illustrated through the use of real data in examples from contemporary social issues, continues to differentiate this briefer statistics text to help students understand the “so what” of statistics. Better illustrated, with more interesting examples and exercises, along with a focus on student learning, ensures that this book remains the most accessible and engaging resource for students. The new "Data at Work" feature from the parent book has also been adapted for the Essentials version.


“I think this textbook is incredibly readable. It presents statistics in a manner that is easy to grasp and comprehend, but is still rigorous in terms of the content covered.”


–Amy Lucas, University of Houston-Clear Lake

Chapter 1: The What and 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 nad Percentages  
Percentage Distributions  
The Construction of Frequency Distributions  
Cumulative Distributions  
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
The Mode  
The Median  
The Mean  
Reading The Research Literature: The Case of Reporting Income  
Statistics in Practice: The Shape of the Distribution  
Considerations for Choosing a Measure of Central Tendency  
Chapter 4: Measures of Variability
The Importance of Measuring Variability  
The Index of Qualitative Variation  
Statistics in Practice: DIversity in U.S. Society  
The Range  
The Interquartile Range  
The Variance and the Standard Deviation  
Considerations for Choosing a Measure of Variation  
Reading the Research Literature: Community College Mentoring  
Chapter 5: 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 6: 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: A Sampling Lesson  
Chapter 7: Estimation
Confidence Intervals for Means  
Confidence Intervals for Proportions  
Reading the Research Literature: Women Victims of Intimate Violence  
Chapter 8: 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 Difference Between Means  
The Five Steps in Hypothesis Testing About Differene Between Means: A Summary  
Statistics in Practice: Cigarette Use Among Teens  
Hypothesis Testing With Two Sample Proportions  
Reading the Research Literature: Reporting the Results of Hypothesis Testing  
Chapter 9: 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  
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 10: 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: Emerging Adulthood  
Chapter 11: 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 r^2 Using ANOVA  
Statistics in PRactice: Multiple Regression  
ANOVA For Multiple Linear Regression  
Reading the Research Literature: Academic Intentions and Support  


Instructor Site


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 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
  • Sample course syllabus for semester and quarter courses provide suggested models for structuring your courses
  • Editable, chapter-specific PowerPoint® slides offer complete flexibility for creating a multimedia presentation for your course.
  •  EXCLUSIVE! Access to full-text SAGE journal articles that have been carefully selected to support and expand on the concepts presented in each chapter
  • Multimedia content includes original SAGE videos that appeal to students with different learning styles
  •  Lecture notes summarize key concepts by chapter to help you prepare for lectures and class discussions
Student 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

·         Mobile-friendly practice quizzes allow for independent assessment by students of their mastery of course material

·         Chapter summaries with learning objectives reinforce the most important material

·         Interactive exercises and meaningful web links facilitate student use of Internet resources, further exploration of topics, and responses to critical thinking questions

·         EXCLUSIVE! Access to full-text SAGE journal articles that have been carefully selected to support and expand on the concepts presented in each chapter

Key features


  • Data at Work features highlight men and women working and using their statistical training and knowledge to give readers and everyday look at the skills in action.
  • Expanded discussion of probability theory has been included.
  • Reorganized end of chapter exercises separates the topics into calculation vs. interpretation for an easier understanding of the material.
  • Discussion of bivariate tables have been moved to Chapter 2.
  • A revised to Chi-Square Test and Measures of Association has been included in Chapter 9.  
  • New GSS dataset have been added


  • A focus on race, class, gender and other aspects of social diversity sets the book apart from others in the field and mirrors the major emphasis in the social sciences today 
  • Reading the Research Literature sections in most chapters help students read and interpret statistical information in professional and scholarly publications 
  • Learning Checks within chapters engage students in reviewing key concepts and techniques 
  • Statistics in Practice and I examples show students applications to meaningful social issues  


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ISBN: 9781506390826