You are here

Social Statistics for a Diverse Society
Share

Social Statistics for a Diverse Society

Ninth Edition
Additional resources:


January 2020 | 560 pages | SAGE Publications, Inc
 
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

 
Learning Statistics

 
 
CHAPTER 2: The Organization and Graphic Presentation of Data
Frequency Distributions

 
Proportions and Percentages

 
Percentage Distributions

 
The Construction of Frequency Distributions

 
Cumulative Distributions

 
Rates

 
Reading the Research Literature: Access to Public Benefits

 
Graphic Presentation of Data

 
The Pie Chart

 
The Bar Graph

 
The Histogram

 
The Statistical Map

 
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 Box Plot

 
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: The 2016 U.S. Presidential Election

 
 
CHAPTER 7: 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 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: Vape Use Among Teens

 
Hypothesis Testing With Two Sample Proportions

 
Reading the Research Literature: Reporting the Results of Hypothesis Testing

 
 
CHAPTER 9: Bivariate Tables
How to Construct a Bivariate Table

 
How to Compute Percentages in a Bivariate Table

 
Reading the Research Literature: Racial Disparities and Educational Attainment

 
The Properties of a Bivariate Relationship

 
Elaboration

 
Reading the Research Literature: The Digital Divide

 
 
CHAPTER 10: 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 11: 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 12: 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 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. A Basic Math Review
 
Learning Check Solutions
 
Answers to Odd-Numbered Exercises

Preview this book

For instructors

This book is not available as an inspection copy. For more information contact your local sales representative.