AU  - Agresti,Alan
AU  - Finlay, Barbara
TI  - Statistical Methods for the Social Sciences
SN  - 978-0-13-713150-1
U1  - 519.5  
PY  - 2009///
CY  - New Jersey
PB  - PEARSON
KW  - Mathematics
KW  - Statistics
N1  - Includes index; 4 copies; 1; Introduction; 1; Introduction to Statistical Methodology; 4; Descriptive Statistics and Inferential Statistics; 6; The Role of Computers in Statistics; 7; Chapter Summary; 11; Sampling and Measurement; 11; Variable and Their Measurement; 15; Randomization; 18; Sampling Variability and Potential Bias; 21; Other Probability Sampling Methods; 24; Chapter Summary; 31; Descriptive Statistics; 31; Describing Data with Table and Graphs; 38; Describing the Center of the Data; 46; Describing Variability of the Data; 51; Measures of Position; 55; Bivariate Descriptive Statistics; 58; Sample Statistics and Population Parameters; 59; Chapter Summary; 73; Probability Distribitions; 73; Introduction to Probability; 75; Probability Distributions for Discrete and Continuous Variables; 78; The Normal Probability Distribution; 85; Sampling Distributions Describe How Statistics Vary; Sampling Distributions of Sample Means; Review Population Sample Data and Sampling Distributions; Chapter Summary;  Statistical Inference Estimation; Point and Interval Estimation; Confidence Interval for a Proportion; Confidence Interval for a Mean; Choice of sample Size; Confidence Intervals for Median and Other Parameters*;  Chapter Summary; Statistical Inference Significance Tests; The Five Parts of a Significant test; Significance Test for a mean; Significance Test for a Proportion; Decisions and Types of Errors in Tests; Limitations of Significance Tests; Calculating  P (Type II Error )*; Small-Sample Test for a Proportion- the Binomial Distribution*; Chapter Summary; Comparison of two Groups; Preliminaries for Comparing Group; Categorical Data Comparing Two Proportions; Quantitative Data Comparing Two Means; 193; Other Methods for Comparing Means*; Other Methds for Comparing Proportions*; Nonparametric Statistics for Comparing; Chapter Summary; Analyzıng Assocıatıon between Categorıcal Varıables; Contıngency Tables; Chı-Squared Test of Independence; Resıduals: Detecting the Pattern of Association; 233; 239; Inference for Ordinal Associations; Chapter Summary; Linear Regression and Correlation; Linear Relationships; Least Squares Prediction Equation; The Linear Regression Model; Measuring Linear Association: The Correlation; Inferences for the Slope and Correlation; Model Assumptions and Violation; Chapter Summary; Introduction to Multivariate Relationships; Association and Casualty; Controlling for Other Variables; Types of Multivariate Relationships; Inferential Issues in Statistical Control; Chapter Summary; Multiple Regression and Correlation; The Multiple Regression Model; Example with multiple Regression Computer output; Multiple Correlation R 2; Inference for Multiple Regression Coefficients; Interactions Between Predictors in Their Effects; Comparing Regression Models; Partial Correlations; Standardized  Regression Coefficients; Chapter Summary; Comparing Groups: Analysis of Variance(ANOVA); Comparing Several Means: The Analysis of Variance F Test; Multiple Comparisons of Means; Performing ANOVA by Regression Modeling; Two-Way Analysis of Variance; Two-way ANOVA  and Regression; Repeated Measures; Two-Way ANOVA with Repeated Measures on a Factors; Effects of Violations of   ANOVA Assumption; Chapter Summary; Combining Regression and ANOVA: Quantitative and Categorical Predictors; Regression with Quantitative and Categorical Predictors; Permitting Interaction between Quantitative and Categorical Predictors; Inference for Regression with Quantitative and Categorical Predictors; Adjusted Means; Chapter Summary; Model Building with Multiple Regression; Model Selection Procedures; Regression Diagnostics; Effects of Multicollinearity; Generalized Linear Models; Nonlinear Relationships Polynomial Regression; Exponential Regression and Log Transforms; Chapter Summary; Logistic Regression: Modeling Categorical Responses; Logistic Regression; Multiple Logistic Regression; Inference for Logistic Regression Models; Logistic Regression  Models for Ordinal Variables; Logistic Models for Normal Responses; Loglinear Relationship Models For Nominals Responses; Model Goodness-of -Fit Tests For Contingency Tables; Chapter Summary; An Introduction to Advanced Methodology; Longitudinal Data Analysis; Multilevel (Hierarchical); Event History Models; Path Analysis; Factor Analysis; Structural Equation Models; Markov Chains; Appendix A: SPSS and S.A.S For Statistical Analysis; Appendix B: Answers to Selected Odd-Numbered Exercises; Tables; Bibliography; Index
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