<p>Statistics for Research【3rd.Edition】-2004(研究用统计学 第3版) </p><p><table border="0" cellspacing="0" cellpadding="0" width="100%" style="MARGIN-TOP: 16px;"><tbody><tr><td>【作者】 Shirley dowdy</td></tr><tr><td>【出 版 社】&nbsp; John Wiley &amp; Sons &nbsp;&nbsp;&nbsp;&nbsp;【书 号】 047126735X </td></tr><tr><td>【出版日期】 2004 年1月 </td></tr></tbody></table></p><p>WILEY SERIES IN PROBABILITY AND STATISTICS<br/>Established by WALTER A. SHEWHART and SAMUEL S. WILKS<br/>Editors: David J. Balding, Noel A. C. Cressie, Nicholas I. Fisher,<br/>Iain M. Johnstone, J. B. Kadane, Louise M. Ryan, David W. Scott,<br/>Adrian F. M. Smith, Jozef L. Teugels<br/>Editors Emeriti: Vic Barnett, J. Stuart Hunter, David G. Kendall<br/>A complete list of the titles in this series appears at the end of this volume</p><p>CONTENTS<br/>Preface to the Third Edition ix<br/>Preface to the Second Edition xiii<br/>Preface to the First Edition xv<br/>1 The Role of Statistics 1<br/>1.1 The Basic Statistical Procedure 1<br/>1.2 The Scientific Method 11<br/>1.3 Experimental Data and Survey Data 19<br/>1.4 Computer Usage 20<br/>Review Exercises 21<br/>Selected Readings 22<br/>2 Populations, Samples, and Probability Distributions 25<br/>2.1 Populations and Samples 25<br/>2.2 Random Sampling 27<br/>2.3 Levels of Measurement 30<br/>2.4 Random Variables and Probability Distributions 33<br/>2.5 Expected Value and Variance of a Probability Distribution 39<br/>Review Exercises 47<br/>Selected Readings 47<br/>3 Binomial Distributions 49<br/>3.1 The Nature of Binomial Distributions 49<br/>3.2 Testing Hypotheses 59<br/>3.3 Estimation 70<br/>3.4 Nonparametric Statistics: Median Test 77<br/>Review Exercises 78<br/>Selected Readings 80<br/>4 Poisson Distributions 81<br/>4.1 The Nature of Poisson Distributions 81<br/>4.2 Testing Hypotheses 84<br/>4.3 Estimation 87<br/>4.4 Poisson Distributions and Binomial Distributions 90<br/>Review Exercises 93<br/>Selected Readings 94<br/>v5 Chi-Square Distributions 95<br/>5.1 The Nature of Chi-Square Distributions 95<br/>5.2 Goodness-of-Fit Tests 104<br/>5.3 Contingency Table Analysis 108<br/>5.4 Relative Risks and Odds Ratios 117<br/>5.5 Nonparametric Statistics: Median Test for Several Samples 121<br/>Review Exercises 124<br/>Selected Readings 125<br/>6 Sampling Distribution of Averages 127<br/>6.1 Population Mean and Sample Average 127<br/>6.2 Population Variance and Sample Variance 132<br/>6.3 The Mean and Variance of the Sampling Distribution of Averages 138<br/>6.4 Sampling Without Replacement 143<br/>Review Exercises 144<br/>7 Normal Distributions 147<br/>7.1 The Standard Normal Distribution 147<br/>7.2 Inference From a Single Observation 152<br/>7.3 The Central Limit Theorem 155<br/>7.4 Inferences About a Population Mean and Variance 157<br/>7.5 Using a Normal Distribution to Approximate Other Distributions 164<br/>7.6 Nonparametric Statistics: A Test Based on Ranks 173<br/>Review Exercises 176<br/>Selected Readings 177<br/>8 Student’s t Distribution 179<br/>8.1 The Nature of t Distributions 179<br/>8.2 Inference About a Single Mean 182<br/>8.3 Inference About Two Means 190<br/>8.4 Inference About Two Variances 197<br/>8.5 Nonparametric Statistics: Matched-Pair and Two-Sample Rank Tests 204<br/>Review Exercises 209<br/>Selected Readings 210<br/>9 Distributions of Two Variables 211<br/>9.1 Simple Linear Regression 211<br/>9.2 Model Testing 223<br/>9.3 Inferences Related to Regression 233<br/>9.4 Correlation 238<br/>9.5 Nonparametric Statistics: Rank Correlation 250<br/>9.6 Computer Usage 253<br/>9.7 Estimating Only One Linear Trend Parameter 256<br/>Review Exercises 262<br/>Selected Readings 263<br/>vi CONTENTS10 Techniques for One-way Analysis of Variance 265<br/>10.1 The Additive Model 265<br/>10.2 One-Way Analysis-of-Variance Procedure 272<br/>10.3 Multiple-Comparison Procedures 283<br/>10.4 One-Degree-of-Freedom Comparisons 294<br/>10.5 Estimation 300<br/>10.6 Bonferroni Procedures 303<br/>10.7 Nonparametric Statistics: Kruskal–Wallis ANOVA for Ranks 309<br/>Review Exercises 313<br/>Selected Readings 314<br/>11 The Analysis-of-Variance Model 317<br/>11.1 Random Effects and Fixed Effects 317<br/>11.2 Testing the Assumptions for ANOVA 324<br/>11.3 Transformations 329<br/>Review Exercises 337<br/>Selected Readings 338<br/>12 Other Analysis-of-Variance Designs 341<br/>12.1 Nested Design 341<br/>12.2 Randomized Complete Block Design 350<br/>12.3 Latin Square Design 360<br/>12.4 a
b Factorial Design 368<br/>12.5 a
b
c Factorial Design 376<br/>12.6 Split-Plot Design 387<br/>12.7 Split Plot with Repeated Measures 398<br/>Review Exercises 407<br/>Selected Readings 408<br/>13 Analysis of Covariance 409<br/>13.1 Combining Regression with ANOVA 409<br/>13.2 One-Way Analysis of Covariance 413<br/>13.3 Testing the Assumptions for Analysis of Covariance 418<br/>13.4 Multiple-Comparison Procedures 423<br/>Review Exercises 428<br/>Selected Readings 429<br/>14 Multiple Regression and Correlation 431<br/>14.1 Matrix Procedures 431<br/>14.2 ANOVA Procedures for Multiple Regression and Correlation 439<br/>14.3 Inferences About Effects of Independent Variables 444<br/>14.4 Computer Usage 451<br/>14.5 Model Fitting 458<br/>14.6 Logarithmic Transformations 475<br/>14.7 Polynomial Regression 484<br/>CONTENTS vii14.8 Logistic Regression 495<br/>Review Exercises 507<br/>Selected Readings 508<br/>Appendix of Useful Tables 511<br/>Answers to Most Odd-Numbered Exercises and All Review Exercises 603<br/>Index</p>