Description
Ramsey and Schafer (both Oregon State U.) present the second edition of this textbook for graduate students who are preparing to design, implement, analyze and report their research. The text requires some knowledge of basic statistical concepts such as means, standard deviations, histograms, the normal and t -distributions, but does not require familiarity with calculus or matrix algebra. Students will need access to a statistical software package and a moderately powerful computer. The text includes a CD-ROM containing case studies and exercises. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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STATISTICAL SLEUTH is an innovative treatment of general statistical methods, taking full advantage of the computer, both as a computational and an analytical tool. The material is independent of any specific software package. In "The American Statistician" (February 2000, Vol. 54, No. 1), George Cobb commented, "What is new and different about Ramsey and Schafer's book, what makes it a 'larger contribution,' is that it gives much more prominence to modeling and interpretation of the sort that goes beyond the routine patterns." His students did "substantially better" on term papers based on the analysis of data. In the book, the focus is on a serious analysis of real case studies; on strategies and tools of modern statistical data analysis; on the interplay of statistics and scientific learning; and on 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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