Summary: Using straightforward prose and emphasizing intuition and common sense, this book teaches basic statistics while incorporating real research examples related to the dynamic interplay of race, class, gender and other social variables within our society and our global neighbours. The text includes resources designed to support effective teaching: illustrations showing how statistical concepts are used to interpret social issues, guides for reading and interpreting the research literatu
re, SPSS demonstrations, and a rich variety of exercises. This new edition has been substantially reorganized, to include: '' Descriptive and inferential statistics in discrete units, followed by coverage of data analysis. '' Social issues beyond race and gender, for example, class and mobility. '' New end-of-chapter exercises '' A fresh data set for criminology and social work. '' Fully updated features, including 'Learning Checks', 'Statistics in Practice', 'A Closer Look' boxes and other helpful devices.
Summary: Using straightforward prose and emphasizing intuition and common sense, this book teaches basic statistics while incorporating real research examples related to the dynamic interplay of race, class, gender and other social variables within our society and our global neighbours. The text includes resources designed to support effective teaching: illustrations showing how statistical concepts are used to interpret social issues, guides for reading and interpreting the research literature, SPSS demonstrations, and a rich variety of exercises. This new edition has been substantially reorganized, to include: '' Descriptive and inferential statistics in discrete units, followed by coverage of data analysis. '' Social issues beyond race and gender, for example, class and mobility. '' New end-of-chapter exercises '' A fresh data set for criminology and social work. '' Fully updated features, including 'Learning Checks', 'Statistics in Practice', 'A Closer Look' boxes and other helpful devices. ...show less
Chava Frankfort-Nachmias is an Associate Professor of Sociology at the University of Wisconsin, Milwaukee where she teaches courses in research methods, statistics and women studies. She is the author of Research Methods in the Social Sciences (with David Nachmias) and numerous publications on ethnicity and development, urban revitalization and science and gender. She was the recipient of the University of Wisconsin System teaching improvement grant on integrating race, ethnicity and gender into the social statistics and research methods curriculum.
View Table of Contents
CHAPTER ONE: THE WHAT AND WHY OF STATISTICS The Research Process Asking Research Questions The Role of Theory Formulating the Hypothesis Collecting Data Analyzing Data and Evaluating the Hypothesis Looking at Social Differences
CHAPTER TWO: ORGANIZATION AND INFORMATION Frequency Distributions Proportions and Percentages Percentage Distributions Comparisons Statistics in Practice: Labor Force Participation Among Latinos The Construction of Frequency Distributions Cumulative Distributions Statistics in Practice: Marriage and Divorce Rates Over Time Reading the Research Literature: Statistical Tables Conclusion
CHAPTER THREE: GRAPHIC PRESENTATION The Pie Chart: Race and Ethnicity of the Elderly The Bar Graph: Living Arrangements and Labor Force Participation of the Elderly The Statistical Map: The Distribution of the Elderly The Histogram Statistics in Practice: The "Graying" of America The Frequency Polygon Time Series Charts Distortions in Graphics Statistics in Practice: Diversity at a Glance
CHAPTER FOUR: MEASURES OF CENTRAL TENDENCY The Mode The Median The Mean The Shape of the Distribution Considerations for Choosing a Measure of Central Tendency
CHAPTER FIVE: MEASURES OF VARIABILITY The Importance of Measuring Variability The Index of Qualitative Variation (IQV): A Brief Introduction 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: Ethnicity and College Aspirations and Expectations
CHAPTER SIX: THE NORMAL DISTRIBUTION Properties of the Normal Distribution Standard (Z) Scores The Standard Normal Distribution The Standard Normal Table A Final Note
CHAPTER SEVEN: SAMPLING AND SAMPLING DISTRIBUTION Aims of Sampling Some Basic Principles of Probability Probability Sampling The Concept of Sampling Distributions The Sampling Distribution of the Mean The Central Limit Theorem
CHAPTER EIGHT: ESTIMATION Estimation Defined Procedures for Estimating Confidence Intervals for Means Statistics in Practice: Hispanic Migration and Earnings Confidence Intervals for Proportions Statistics in Practice: The Democratic Presidential Nomination
CHAPTER NINE: 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 Testing Hypotheses About Two Samples: Education Attainment of Blacks and Hispanics The Sampling Distribution of the Difference Between Means The Five Steps in Hypothesis Testing About Difference Between Means: A Summary Testing the Significance of the Difference Between Two Sample Proportions
CHAPTER TEN: RELATIONSHIP BETWEEN TWO VARIABLES 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 Two Variables Reading the Research Literature: Place of Death in America The Properties of a Bivariate Relationship Elaboration Statistics in Practice: Family Support fort he Transition from High School
CHAPTER 11: CHI-SQUARE The Concept of the Chi Square Statistical Test The Concept of Statistical Independence The Structure of Hypothesis Testing with Chi-Square The Limitations of the Chi-Square Test: Sample Size and Statistical Significance Statistics in Practice: Education and Health
CHAPTER TWELVE: MEASURES OF ASSOCIATION FOR NOMINAL AND ORDINAL VARIABLES Proportional Reduction of Error: A Brief Introduction Lambda: A Measure of Association for Nominal Variables Gamma: An Ordinal Measure of Association Calcu
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