Social Statistics For A Diverse Society-text Only - 5th edition

Preface 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