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

Third Edition
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© 2018 | 456 pages | SAGE Publications, Inc

Essentials of Social Statistics for a Diverse Society, Third Edition, is a more streamlined, less expensive version of the successful Social Statistics for a Diverse Society. As in the parent text, the Essentials version does more than introduce students to the statistical techniques used by social scientists. It is distinct for the use of real data from contemporary social issues, illustrating the interplay between social concerns and methods of inquiry, and for a strong emphasis on race, class, gender, and other statuses to show how statistics can be a tool for understanding the richness of social differences within society. With a wide range of examples and exercises taken from current events and published research, frequent illustrations, and a focus on student learning, this book continues to be an accessible and engaging resource for students.

“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

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Preface
 
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  
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  
Reading the Research Literature: The Digital Divide  
 
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
Point and Interval 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 the Difference Between Means  
The Five Steps in Hypothesis Testing About Difference 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  
Statistics in Practice: Respondent and Father 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 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 r2 Using ANOVA  
Statistics in Practice: Multiple Regression  
ANOVA for Multiple Linear Regression  
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. A Basic Math Review
 
Learning Check Solutions
 
Answers to Odd-Numbered Exercises
 
Glossary
 
Notes
 
Index

Supplements

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  • 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 
  • Lecture notes summarize key concepts by chapter to help you prepare for lectures and class discussions
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·         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

“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

“This is an excellent basic text on statistics used in social research with examples that are very relevant for the field.”

Christopher Whitsel
North Dakota State University
Key features

NEW TO THIS EDITION: 

  • A new Data at Work feature profiles men and women using their statistical training in a wide range of career fields.
  • Expanded discussion of probability theory has been included.
  • Reorganized end-of-chapter exercises separate the topics into calculation versus interpretation for an easier understanding of the material.
  • Discussion of bivariate tables has been moved to Chapter 2.
  • A revision to “The Chi-Square Test and Measures of Association” chapter has been included in Chapter 9.  
  • New GSS datasets have been added for the SPSS exercises.

KEY FEATURES:

  • Adapted from Social Statistics for a Diverse Society by eliminating some examples and applications, combining topics within chapters, and moving step-by-step SPSS demonstrations online.
  • A focus on race, class, gender, and other aspects of social diversity sets the book apart from others in the field and reflects a major trend 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. 
  • Each chapter includes a set of optional SPSS exercises.




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