The Statistical Sleuth: A Course in Methods of Data Analysis, International Edition 3rd Edition
Fred Ramsey | Daniel Schafer
ISBN-13: 9781133588191 | ISBN-10: 1133588190
© 2013 | Published |  784  Pages

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THE STATISTICAL SLEUTH: A COURSE IN METHODS OF DATA ANALYSIS, 3E, International 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.



  • 1. Drawing Statistical Conclusions.
    2. Inference Using t-Distributions.
    3. A Closer Look at Assumptions.
    4. Alternatives to the t-Tools.
    5. Comparisons among Several Samples.
    6. Linear Combinations and Multiple Comparisons of Means.
    7. Simple Linear Regression: A Model for the Mean.
    8. A Closer Look at Assumptions for Simple Linear Regression.
    9. Multiple Regression.
    10. Inferential Tools for Multiple Regression.
    11. Model Checking and Refinement.
    12. Strategies for Variable Selection.
    13. The Analysis of Variance for Two-Way Classifications.
    14. Multifactor Studies Without Replication.
    15. Adjustment for Serial Correlation.
    16. Repeated Measures and Other Multivariate Responses.
    17. Exploratory Tools for Summarizing Multivariate Responses.
    18. Comparisons of Proportions or Odds.
    19. More Tools for Tables of Counts.
    20. Logistics Regression for Binary Response Variables.
    21. Logistic Regression for Binomial Counts.
    22. Log-Linear Regression for Poisson Counts.
    23. Elements of Research Design.
    24. Factorial Treatment Arrangements and Blocking Designs.
    Appendix A. Tables.
    Appendix B. References.
    Bibliography.
    Index.

    • Updated data problems cover current events, adding interest and relevance to the material.
    • Problems are those graduate researchers typically encounter, with regression as the principal featured tool. Generalized linear models, repeated measures, and serial correlation are also included.
    • The fundamentals of drawing sound inferences receive strong, early coverage in Chapters 1–4, introduced by means of two-sample problems.
    • The book presents an excellent discussion of design issues (as they apply to case studies) throughout, and includes two experimental design chapters at the end of the book.
    • Real-world case studies introduce each method.
For more information about these supplements, or to obtain them, contact your Learning Consultant

  • Student Solutions Manual for Ramsey/Schafer’s The Statistical Sleuth: A Course in Methods of Data Analysis, 3rd
    ISBN-10: 1133491332 | ISBN-13:9781133491330
    List Price = 69.95
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    Solution Builder for Ramsey/Schaffer’s The Statistical Sleuth: A Course in Methods of Data Analysis, 3rd
    ISBN-10: 1133491340 | ISBN-13:9781133491347
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    Instructor’s Solutions Manual for Ramsey/Schafer’s The Statistical Sleuth: A Course in Methods of Data Analysis, 3rd
    ISBN-10: 1133590543 | ISBN-13:9781133590545
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  • Fred Ramsey received his undergraduate degree from the University of Oregon (1961) and graduate degrees from Iowa State University (1963, 1964). He completed post-doctorate work at Johns Hopkins University. He has been on the faculty of the Department of Statistics at Oregon State University since 1966, with leaves for teaching and research positions at the University of Copenhagen, Denmark (1972-1973); Murdoch University, Perth, Western Australia (1997-1978); the University of Wollongong, NSW, Australia (1985-1986); and Oregon Health Sciences University in Portland, Oregon (1990-1991). His principal research interest is applications of statistics to wildlife problems.

    Daniel Schafer holds an undergraduate degree in Mathematics from Pomona College (1978) and graduate degrees in Statistics from the University of Chicago (1981, 1982). He is currently a professor of statistics at Oregon State University. His hobby is wildlife photography.