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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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December 2017 | 456 pages | SAGE Publications, Inc

Proud sponsor of the 2019 SAGE Keith Roberts Teaching Innovations Award—enabling graduate students and early career faculty to attend the annual ASA pre-conference teaching and learning workshop.

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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IBM SPSS Statistics© version 23
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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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Instructor Teaching Site (Password Protected)

 

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  • 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
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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 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

“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

“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

Wanted an introductory text that was visually appealing, had practical examples across multiple disciplines with straight-forward graphics. STUDENT LOVE THIS TEXT!

Dr Susan M Wolf
Social/Behavioral Science Dept, Dine College
January 16, 2019
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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