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Statistics and Scientific Method: An Introduction for Students and Researchers 1st Edition

4 out of 5 stars 1 customer review
ISBN-13: 978-0199543199
ISBN-10: 0199543194
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Editorial Reviews

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"This book does strike, the proper balance to meet the requirements of a service course in statistics for researchers and students who have little or no statistical background. The necessary statistical concepts are taught from first principles and the mathematics is deliberately kept simple but used when needed. The R software language is used as students working out even simple problems need a computer for the solution. The book provides web addresses for downloadable data sets and R code to make it possible for the reader to duplicate the results presented in the book. The authors have a nice writing style and explain all the important concepts well." -- Michael R. Chernick, Significance: Statistics Making Sense


Mentioned in The American Statistician.


About the Author


Peter Diggle is Distinguished University Professor of Statistics and Associate Dean for Research in the School of Health and Medicine, Lancaster University, Adjunct Professor in the Department of Biostatistics, Johns Hopkins University School of Public Health and Adjunct Senior Researcher in the International Research Institute for Climate and Society, Columbia University. Between 1974 and 1983 he was a Lecturer, then Reader, in Statistics at the University of Newcastle upon Tyne. Between 1984 and 1988 he was Senior, then Principal, then Chief Research Scientist and Chief of the Division of Mathematics and Statistics at CSIRO, Australia. He has published nine books and around 180 articles on these topics in the open literature. He was awarded the Royal Statistical Society's Guy Medal in Silver in 1997, is a former editor of the Society's Journal, Series B and is a Fellow of the American Statistical Association.

Amanda Chetwynd is Pro-Vice-Chancellor for the Student Experience and Professor of Mathematics and Statistics at Lancaster University. Before joining Lancaster University she held a Post-Doctoral position in the Mathematics Department at the University of Stockholm. She has published three books and around 80 refereed articles. Amanda was awarded a National Teaching Fellowship in 2003 and in 2005 led Lancaster's successful bid for a Postgraduate Statistics Centre of Excellence in Teaching and Learning.
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Product Details

  • Paperback: 192 pages
  • Publisher: Oxford University Press; 1 edition (September 30, 2011)
  • Language: English
  • ISBN-10: 0199543194
  • ISBN-13: 978-0199543199
  • Product Dimensions: 9.1 x 0.5 x 6.1 inches
  • Shipping Weight: 8.8 ounces (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #1,084,897 in Books (See Top 100 in Books)

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Format: Paperback
I considered adopting this book for an introductory course in political science; I didn't, but that wasn't because of any failing in the book. As a guide to the analysis of experimental procedures, it is admirable: cleanly written, well-presented with numerous examples, and (perhaps most appealingly) written to be used in conjunction with the R statistical programming language, which is free and widely used. For instructors looking for a comparatively inexpensive and straightforward guide to such topics, I recommend it; certainly, I read it with profit. For instructors in the non-experimental social sciences, this book will prove less useful.
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