The Statistical Sleuth: A Course in Methods of Data Analysis

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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
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