Statistical Methods for the Social Sciences / Alan Agresti, Barbara Finlay
Dil: İngilizce New Jersey: PEARSON, 2009Baskı: Fourth EditionTanım: 609 pages; 25 cmİçerik türü:- text
- unmediated
- volume
- 978-0-13-713150-1
- 0-13-713150-X
- 519.5 A47 2009
Materyal türü | Geçerli Kütüphane | Koleksiyon | Yer Numarası | Kopya numarası | Durum | Notlar | İade tarihi | Barkod | Materyal Ayırtmaları | |
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Books | CIU LIBRARY Genel Koleksiyon | 519.5 A47 2009 (Rafa gözat(Aşağıda açılır)) | C.3 | Kullanılabilir | Deniz Plaza | 0074777 | ||||
Books | CIU LIBRARY Genel Koleksiyon | 519.5 A47 2009 (Rafa gözat(Aşağıda açılır)) | C.4 | Kullanılabilir | 0045396 |
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 89
Review Population Sample Data and Sampling Distributions 95
Chapter Summary 99
Statistical Inference Estimation 107
Point and Interval Estimation 107
Confidence Interval for a Proportion 110
Confidence Interval for a Mean 116
Choice of sample Size 124
Confidence Intervals for Median and Other Parameters* 129
Chapter Summary 132
Statistical Inference Significance Tests 143
The Five Parts of a Significant test 144
Significance Test for a mean 147
Significance Test for a Proportion 156
Decisions and Types of Errors in Tests 159
Limitations of Significance Tests 163
Calculating P (Type II Error )* 166
Small-Sample Test for a Proportion- the Binomial Distribution* 169
Chapter Summary 173
Comparison of two Groups 183
Preliminaries for Comparing Group 183
Categorical Data Comparing Two Proportions 187
Quantitative Data Comparing Two Means 191
193 Comparing Means with Dependent Samples
Other Methods for Comparing Means* 197
Other Methds for Comparing Proportions* 201
Nonparametric Statistics for Comparing 205
Chapter Summary 208
Analyzıng Assocıatıon between Categorıcal Varıables 221
Contıngency Tables 221
Chı-Squared Test of Independence 224
Resıduals: Detecting the Pattern of Association 229
233 Measuring Association in Contingency Tables
239 Association Between Ordinal Variables
Inference for Ordinal Associations 243
Chapter Summary 246
Linear Regression and Correlation 255
Linear Relationships 256
Least Squares Prediction Equation 259
The Linear Regression Model 265
Measuring Linear Association: The Correlation 269
Inferences for the Slope and Correlation 276
Model Assumptions and Violation 283
Chapter Summary 288
Introduction to Multivariate Relationships 301
Association and Casualty 301
Controlling for Other Variables 304
Types of Multivariate Relationships 307
Inferential Issues in Statistical Control 313
Chapter Summary 314
Multiple Regression and Correlation 321
The Multiple Regression Model 321
Example with multiple Regression Computer output 326
Multiple Correlation R 2 331
Inference for Multiple Regression Coefficients 335
Interactions Between Predictors in Their Effects 340
Comparing Regression Models 345
Partial Correlations 347
Standardized Regression Coefficients 351
Chapter Summary 354
Comparing Groups: Analysis of Variance(ANOVA) 369
Comparing Several Means: The Analysis of Variance F Test 369
Multiple Comparisons of Means 376
Performing ANOVA by Regression Modeling 378
Two-Way Analysis of Variance 382
Two-way ANOVA and Regression 386
Repeated Measures 391
Two-Way ANOVA with Repeated Measures on a Factors 395
Effects of Violations of ANOVA Assumption 400
Chapter Summary 402
Combining Regression and ANOVA: Quantitative and Categorical Predictors 413
Regression with Quantitative and Categorical Predictors 414
Permitting Interaction between Quantitative and Categorical Predictors 419
Inference for Regression with Quantitative and Categorical Predictors 422
Adjusted Means 426
Chapter Summary 433
Model Building with Multiple Regression 441
Model Selection Procedures 441
Regression Diagnostics 448
Effects of Multicollinearity 456
Generalized Linear Models 458
Nonlinear Relationships Polynomial Regression 462
Exponential Regression and Log Transforms 469
Chapter Summary 473
Logistic Regression: Modeling Categorical Responses 483
Logistic Regression 483
Multiple Logistic Regression 488
Inference for Logistic Regression Models 493
Logistic Regression Models for Ordinal Variables 496
Logistic Models for Normal Responses 501
Loglinear Relationship Models For Nominals Responses 503
Model Goodness-of -Fit Tests For Contingency Tables 507
Chapter Summary 511
An Introduction to Advanced Methodology 519
Longitudinal Data Analysis 519
Multilevel (Hierarchical) 523
Event History Models 524
Path Analysis 527
Factor Analysis 532
Structural Equation Models 537
Markov Chains 541
Appendix A: SPSS and S.A.S For Statistical Analysis 545
Appendix B: Answers to Selected Odd-Numbered Exercises 567
Tables 591
Bibliography 599
Index 604