# The Statistical Sleuth: A Course in Methods of Data Analysis

Cengage Learning, May 2, 2012 - Mathematics - 784 pages
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THE STATISTICAL SLEUTH: A COURSE IN METHODS OF DATA ANALYSIS, Third Edition offers an appealing treatment of general statistical methods that takes full advantage of the computer, both as a computational and an analytical tool. The material is independent of any specific software package, and prominently treats modeling and interpretation in a way that goes beyond routine patterns. The book focuses on a serious analysis of real case studies, strategies and tools of modern statistical data analysis, the interplay of statistics and scientific learning, and the communication of results. With interesting examples, real data, and a variety of exercise types (conceptual, computational, and data problems), the authors get students excited about statistics.
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### Contents

 Drawing Statistical Conclusions 1 Inference Using tDistributions 28 A Closer Look at Assumptions 58 Alternatives to the tTools 85 Comparisons Among Several Samples 113 Linear Combinations and Multiple Comparisons of Means 149 Simple Linear Regression A Model for the Mean 176 A Closer Look at Assumptions for Simple Linear Regression 207
 Adjustment for Serial Correlation 449 Repeated Measures and Other Multivariate Responses 476 Exploratory Tools for Summarizing Multivariate Responses 514 Comparisons of Proportions or Odds 549 More Tools for Tables of Counts 572 Logistic Regression for Binary Response Variables 601 Logistic Regression for Binomial Counts 634 LogLinear Regression for Poisson Counts 672

 Multiple Regression 237 Inferential Tools for Multiple Regression 271 Model Checking and Refinement 310 Strategies for Variable Selection 345 The Analysis of Variance for TwoWay Classifications 384 Multifactor Studies Without Replication 420
 Elements of Research Design 699 Factorial Treatment Arrangements and Blocking Designs 725 Appendix Bibliography 748 Index 751 Copyright