Details

<p><b>CHAPTER 1: Introduction 1</b></p> <p><b>CHAPTER 2: Elementary Rules of Probability 13</b></p> <p><b>CHAPTER 3: Populations, Samples, and the Distribution of the Sample Mean 37</b></p> <p>1. Populations and Distributions 38</p> <p>2. Sampling from Finite Populations 64</p> <p>3. The Distribution of the Sample Mean 72</p> <p><b>CHAPTER 4: Analysis of Matched Pairs Using Sample Means 85</b></p> <p>1. A Confidence Interval for the Treatment Effect 86</p> <p>2. A Hypothesis Test for the Treatment Effect 96</p> <p>3. Determining the Sample Size 102</p> <p><b>CHAPTER 5: Analysis of the Two-Sample Location Problem Using Sample Means 109</b></p> <p>1. A Confidence Interval for the Difference Between the Population Means 110</p> <p>2. A Hypothesis Test for the Difference Between the Population Means 116</p> <p>3. Determining Sample Sizes 119</p> <p>4. Testing the Assumption of Equal Population Variances 122</p> <p><b>CHAPTER 6: Surveys and Experiments in Medical Research 131</b></p> <p>Application of Statistics in Laboratory and Clinical Studies 131</p> <p>Randomized Clinical Experiments 134</p> <p>Ethics and Statistical Aspects of the Clinical Trial 137</p> <p>Retrospective Studies, Prospective Studies, and Randomized Clinical Experiments 140</p> <p><b>CHAPTER 7: Statistical Inference for Dichotomous Variables 149</b></p> <p>A Confidence Interval for a Success Probability p 150</p> <p>Hypothesis Tests for a Success Probability p 156</p> <p><b>CHAPTER 8: Comparing Two Success Probabilities 173</b></p> <p>A Confidence Interval for the Difference Between the Success Probabilities 174</p> <p>A Hypothesis Test for the Difference Between the Success probabilities 178</p> <p><b>CHAPTER 9: Chi-Squared Tests 195</b></p> <p>The Chi-Squared Test for k Probabilities (Goodness of Fit) 196</p> <p>r x k Tables: Chi-Squared Tests of Homogeneity and Independence 201</p> <p>A Test for Trend in Proportions 211</p> <p><b>CHAPTER 10: Analysis of & Sample Problems 225</b></p> <p>The Completely Randomized Experiment 226</p> <p>The Randomized Blocks Experiment 241</p> <p><b>CHAPTER 11: Linear Regression and Correlation 261</b></p> <p>1. Linear Regression 262</p> <p>2. Correlation 281</p> <p>3. Rank Correlation 292</p> <p><b>CHAPTER 12: Analysis of Matched Pairs Using Ranks 309</b></p> <p>1. The Wilcoxon Signed Rank Test 310</p> <p>2. A Nonparametric Confidence Interval Based on the Signed Rank Test 317</p> <p><b>CHAPTER 13: Analysis of the Two-Sample Location Problem Using Ranks 327</b></p> <p>1. The Wilcoxon Two-Sample Rank Sum Test 328</p> <p>2. A Nonparametric Confidence Interval Based on the Rank Sum Test 333</p> <p><b>CHAPTER 14: Methods for Censored Data 341</b></p> <p>APPENDIX A: Glossary 361</p> <p>APPENDIX B: Answers to Selected Questions and Solutions to Selected Problems 375</p> <p>APPENDIX C: Mathematical and Statistical Tables 407</p> <p>INDEX 451</p>

<p><b>BYRON WILLIAM BROWN JR.</b>, PhD, was a professor in and former chair of the Department of Health Policy and Research at Stanford University. For over 30 years, he made significant contributions to the university's research and teachings on various areas of study such as cancer treatment and the design of clinical trials. Dr. Brown is now deceased.</p> <p><b>MYLES HOLLANDER</b>, PhD, is Robert O. Lawton Distinguished Professor of Statistics at Florida State University in Tallahassee. He served as editor of the Theory and Methods Section of the Journal of the American Statistical Association from 1993-96.</p>

<p>The Wiley Classics Library consists of selected books that have become recognized classics in their respective fields. With these new unabridged and inexpensive editions, Wiley hopes to extend the life of these important works by making them available to future generations of mathematicians and scientists.</p> <p>Currently available in the Series:</p> <ul> <li> <p>T. W. AndersonThe Statistical Analysis of Time Series</p> </li> <li> <p>T. S. Arthanari &Yadolah DodgeMathematical Programming in Statistics</p> </li> <li> <p>Emil ArtinGeometric Algebra</p> </li> <li> <p>Norman T. J. BaileyThe Elements of Stochastic Processeswith Applications to the Natural Sciences</p> </li> <li> <p>Robert G. BartleThe Elements of Integration and Lebesgue Measure</p> </li> <li> <p>George E. P. Box &Norman R. DraperEvolutionary Operation: A Statistical Method for Process Improvement</p> </li> <li> <p>George E. P. Box &George C. TiaoBayesian Inference in Statistical Analysis</p> </li> <li> <p>R. W. CarterFinite Groups of Lie Type:Conjugacy Classesand Complex Characters</p> </li> <li> <p>R. W. CarterSimple Groups of Lie Type</p> </li> <li> <p>William G. Cochran &Gertrude M. CoxExperimental Designs, Second Edition</p> </li> <li> <p>Richard CourantDifferential and Integral Calculus, Volume I</p> </li> <li> <p>RIchard CourantDifferential and Integral Calculus, Volume II</p> </li> <li> <p>Richard Courant &D. HilbertMethods of Mathematical Physics, Volume I</p> </li> <li> <p>Richard Courant &D. HilbertMethods of Mathematical Physics, Volume II</p> </li> <li> <p>D. R. CoxPlanning of Experiments</p> </li> <li> <p>Harold S. M. CoxeterIntroduction to Geometry, Second Edition</p> </li> <li> <p>Charles W. Curtis &Irving ReinerRepresentation Theory of Finite Groups andAssociative Algebras</p> </li> <li> <p>Charles W. Curtis &Irving ReinerMethods of Representation Theory with Applications to Finite Groups and Orders, Volume I</p> </li> <li> <p>Charles W. Curtis &Irving ReinerMethods of Representation Theory with Applications to Finite Groups and Orders, Volume II</p> </li> <li> <p>Cuthbert Daniel & Fred S. WoodFitting Equations to Data: Computer Analysis of Multifactor Data, Second Edition</p> </li> <li> <p>Bruno de FinettiTheory of Probability, Volume I</p> </li> <li> <p>Bruno de FinettiTheory of Probability, Volume 2</p> </li> <li> <p>Morris H. DeGrootOptimal Statistical Decisions</p> </li> <li> <p>W. Edwards DemingSample Design in Business Research</p> </li> <li> <p>Amos de Shalit & Herman FeshbachTheoretical Nuclear Physics, Volume 1—Nuclear Structure</p> </li> <li> <p>Harold F. Dodge &Harry G. RomigSampling Inspection Tables: Single andDouble Sampling</p> </li> <li> <p>J. L. DoobStochastic Processes</p> </li> </ul>

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