9780534386702-0534386709-The Statistical Sleuth: A Course in Methods of Data Analysis (Book & CD)

The Statistical Sleuth: A Course in Methods of Data Analysis (Book & CD)

ISBN-13: 9780534386702
ISBN-10: 0534386709
Edition: 2
Author: Fred Ramsey, Daniel Schafer
Publication date: 2002
Publisher: Duxbury Press
Format: Hardcover 768 pages
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Book details

ISBN-13: 9780534386702
ISBN-10: 0534386709
Edition: 2
Author: Fred Ramsey, Daniel Schafer
Publication date: 2002
Publisher: Duxbury Press
Format: Hardcover 768 pages

Summary

The Statistical Sleuth: A Course in Methods of Data Analysis (Book & CD) (ISBN-13: 9780534386702 and ISBN-10: 0534386709), written by authors Fred Ramsey, Daniel Schafer, was published by Duxbury Press in 2002. With an overall rating of 3.9 stars, it's a notable title among other Applied (Mathematics) books. You can easily purchase or rent The Statistical Sleuth: A Course in Methods of Data Analysis (Book & CD) (Hardcover) from BooksRun, along with many other new and used Applied books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.54.

Description

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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