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

Second Edition
Experience with SAGE edge


© 2015 | 408 pages | SAGE Publications, Inc
Essentials of Social Statistics for a Diverse Society, Second Edition provides students with a briefer, less expensive version of the successful Social Statistics for a Diverse Society, now in its Seventh Edition. As in the parent text, this concise statistics text puts a strong emphasis on the theme of diversity, which is illustrated through the use of real data in examples from contemporary social issues. The book’s informational and inviting writing style, coupled with the use of real-world examples and data applications, makes the book a more accessible and engaging resource for students.

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CHAPTER 1: The What and the Why of Statistics
The Research Process  
Asking Research Questions  
The Role of Theory  
Formulating the Hypotheses  
Collecting Data  
A Cautionary Note: Measurement Error  
Analyzing Data and Evaluating the Hypotheses  
Looking at Social Differences  
 
CHAPTER 2: The Organization and Graphic Presentation of Data
Frequency Distributions  
Proportions and Percentages  
Percentage Distributions  
Comparisons  
Statistics in Practice: Labor Force Participation Among Foreign Born  
The Construction of Frequency Distributions  
Cumulative Distributions  
Rates  
Statistics in Practice: Civilian Labor Force Participation Rates Over Time  
Reading the Research Literature: Statistical Tables  
The Pie Chart: Race and Ethnicity of the Elderly  
The Bar Graph: Marital Status of the Elderly  
The Histogram  
Statistics in Practice: Gender and Age  
The Line Graph  
Time-Series Charts  
A Cautionary Note: Distortions in Graphs  
Statistics in Practice: The Graphic Presentation of Education  
 
CHAPTER 3: Measures of Central Tendency
The Mode  
The Median  
Statistics in Practice: Gendered Income Inequality  
The Mean  
Finding the Mean in a Frequency Distribution  
The Shape of the Distribution: Television, Education, and Siblings  
Considerations for Choosing a Measure of Central Tendency  
A Cautionary Note: Representing Income  
 
CHAPTER 4: Measures of Variability
The Importance of Measuring Variability  
The Range  
The Interquartile Range: Increases in Elderly Population  
The Variance and the Standard Deviation: Changes in the Elderly Populations  
Considerations for Choosing a Measure of Variation  
Reading the Research Literature: Differences in College Aspirations and Expectations Among  
 
CHAPTER 5: The Normal Distribution
Properties of the Normal Distribution  
Standard (Z) Scores  
The Standard Normal Distribution  
The Standard Normal Table  
Transforming Proportions (or Percentages) Into Z Scores  
 
CHAPTER 6: Sampling and Sampling Distributions
The Concept of the Sampling Distribution  
The Sampling Distribution of the Mean  
The Central Limit Theorem  
Statistics in Practice: The Central Limit Theorem  
 
CHAPTER 7: Estimation
Estimation Defined  
Procedures for Estimating Confidence Intervals for Means  
Confidence Intervals for Proportions  
Statistics in Practice: The 2012 Benghazi Terrorist Attack Investigation  
A Cautionary Note: The Margin of Error  
 
CHAPTER 8: Testing Hypotheses
Assumptions of Statistical Hypothesis Testing  
Stating the Research and Null Hypotheses  
Determining What Is Sufficiently Improbable: Probability Values and Alpha  
The Five Steps in Hypothesis Testing: A Summary  
Errors in Hypothesis Testing  
Statistics in Practice: The Earnings of White Women  
Testing Hypotheses About Two Samples  
The Sampling Distribution of the Difference Between Means  
Population Variances Are Assumed to Be Unequal  
The Five Steps in Hypothesis Testing About Difference Between Means: A Summary  
Focus on Interpretation: Cigarette Use Among Teens  
Testing the Significance of the Difference Between Two Sample Proportions  
Statistics in Practice: Comparing First- and Second-Generation Hispanic Americans  
Is There a Significant Difference?  
Reading the Research Literature: Reporting the Results of Statistical Hypothesis Testing  
 
CHAPTER 9: Bivariate Tables
Independent and Dependent Variables  
How to Construct a Bivariate Table: Race and Home Ownership  
How to Compute Percentages in a Bivariate Table  
How to Deal With Ambiguous Relationships Between Variables  
Reading the Research Literature: Place of Death in America  
The Properties of a Bivariate Relationship  
Elaboration  
The Concept of Chi-Square as a Statistical Test  
The Concept of Statistical Independence  
The Structure of Hypothesis Testing With Chi-Square  
Sample Size and Statistical Significance for Chi-Square  
Focus on Interpretation: Education and Health Assessment  
Proportional Reduction of Error: A Brief Introduction  
What Is Strong? What Is Weak? A Guide to Interpretation  
Lambda: A Measure of Association for Nominal Variables  
Cramer’s V: A Chi-Square-Related Measure of Association for Nominal Variables  
Focus on Interpretation: Gamma and Kendall’s Tau-b  
Using Ordinal Measures With Dichotomous Variables  
Focus on Interpretation: The Gender Gap in Gun Control  
 
CHAPTER 10: Analysis of Variance
Understanding Analysis of Variance  
The Structure of Hypothesis Testing With ANOVA  
The Five Steps in Hypothesis Testing: A Summary  
Assessing the Relationship Between Variables  
Focus on Interpretation: Are Immigrants Good for America’s Economy?  
Reading the Research Literature: Stresses and Strains Among Grandmother Caregivers  
 
CHAPTER 11: Regression and Correlation
The Scatter Diagram  
Linear Relations and Prediction Rules  
Statistics in Practice: Median Household Income and Criminal Behavior  
Methods for Assessing the Accuracy of Predictions  
Statistics in Practice: Teen Pregnancy and Social Inequality  
Focus on Interpretation: The Marriage Penalty in Earnings  
A Cautionary Note: Spurious Correlations and Confounding Effects  
 
Appendix A. The Standard Normal Table
 
Appendix B. Distribution of t
 
Appendix C. Distribution of Chi-Square
 
Appendix D. Distribution of F
 
Appendix E. A Basic Math Review
 
Learning Check Solutions
 
Answers to Odd-Numbered Exercises
 
Glossary

Supplements

Student Study Site

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.
  • A customized online action plan includes tips and feedback on progress through the course and materials, which allows students to individualize their learning experience.
  • Web 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.
  • Access to five new data sets including GSS 2010, HINTS 2012, MTF 2011, and Global 2013.
Instructors Resource Site

SAGE edge for instructors supports teaching by making it easy to integrate quality content and create a rich learning environment for students.

  • Test banks provide a diverse range of prewritten options as well as the opportunity to edit any question and/or insert personalized questions to effectively assess students’ progress and understanding.
  • Sample course syllabi for semester and quarter courses provide suggested models for structuring one’s course.
  • Editable, chapter-specific PowerPoint® slides offer complete flexibility for creating a multimedia
    presentation for the 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 to encourage students to think critically.
  • Lecture notes summarize key concepts by chapter to ease preparation for lectures and class discussions.
  • Lively and stimulating ideas for class activities that can be used in class to reinforce active learning.
  • Chapter-specific discussion questions help launch classroom interaction by prompting students to engage with the material and by reinforcing important content.
  • A course cartridge provides easy LMS integration.

This text provides concise explanations of statistics. Theory is explained clearly and would help any student understand the basic principles. The examples provided for each topic are beneficial and provides the reader with the opportunity to gain a deeper level of knowledge and understanding.

Miss Ella Malton
Department of Health & Social Studies, Grimsby Institute of HE And FE
January 5, 2018

This text offers students a one-stop shop for quantitative analysis. It provides clear instruction through quantitative analysis methods and uses contemporary and accessible data sets to enable readers to see the significance and relevance. An highly recommended text.

Mr Paul Matthews
School of Hospitality, Tourism & Events, University College Birmingham
July 14, 2016

Although an excellent and interesting read, the book was not suitable for the module I teach on. Excellent read though!

Miss Elizabeth Selina Green
Business and Law, University of the West Of England
June 9, 2015

Recommended resurce, and also shared with other faculty teaching stats and research methods.

Dr Mudita Rastogi
School Of Psych Behav Sci, Argosy University-Schaumburg
April 2, 2015

The technical information was clearly presented. I appreciated the critical stance on social science.

Ms Casadi Marino
Grad School Of Social Work, Portland State University
April 2, 2015
Key features

NEW TO THIS EDITION:

  • Emphasis on computing and interpretation. Statistical concepts and procedures are illustrated with real data and research via SPSS output or excerpts from scholarly literature 
  • Current event coverage. A special quality of this book is its integration of statistical techniques with pressing social issues of particular concern to society and social science. Examples such as public attitudes toward immigration, federal government's collection of personal data, and social mobility comparison between first versus second generation Hispanic Americans and Asian Americans help to connect the principles and practice of statistics to the real world
  • Chapter reorganization, including
    • a new chapter on estimation 
    • reordered chapters on regression and analysis of variance (regression now follows variance), help to better align the book with the way most courses are taught

KEY FEATURES:

  • 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 

Sample Materials & Chapters

Chapter 1

Chapter 9


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