Common Errors in Statistics
(and How to Avoid Them)
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Beschreibung
A guide to choosing and using the right techniques
High-speed computers and prepackaged statistical routines wouldseem to take much of the guesswork out of statistical analysis andlend its applications readily accessible to all. Yet, as PhillipGood and James Hardin persuasively argue, statistical software nomore makes one a statistician than a scalpel makes one a surgeon.Choosing the proper technique and understanding the analyticalcontext is of paramount importance to the proper application ofstatistics. The highly readable Common Errors in Statistics (andHow to Avoid Them) provides both newly minted academics andprofessionals who use statistics in their work with a handy fieldguide to statistical problems and solutions.
Good and Hardin begin their handbook by establishing amathematically rigorous but readily accessible foundation forstatistical procedures. They focus on debunking popular myths,analyzing common mistakes, and instructing readers on how to choosethe appropriate statistical technique to address their specifictask. A handy checklist is provided to summarize the necessarysteps.
Topics covered include:
* Creating a research plan
* Formulating a hypothesis
* Specifying sample size
* Checking assumptions
* Interpreting p-values and confidence intervals
* Building a model
* Data mining
* Bayes' Theorem, the bootstrap, and many others
Common Errors in Statistics (and How to Avoid Them) also containsreprints of classic articles from statistical literature tore-examine such bedrock subjects as linear regression, the analysisof variance, maximum likelihood, meta-analysis, and the bootstrap.With a final emphasis on finding solutions and on the great valueof statistics when applied in the proper context, this book willprove eminently useful to students and professionals in the fieldsof research, industry, medicine, and government.
Autor*in
Phillip I. Good
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"Out of a tangle of complexity (which results from telling it likeit is) comes a great deal of very good advice." (Journal ofQuality Technology, January 2005)
".written.for the people who define good practice ratherthan seek to emulate it." (Journal of BiopharmaceuticalStatistics, 2004)
".highly informative, enjoyable to read, and of potential useto a broad audience. It is a book that should be on the referenceshelf of many statisticians and researchers." (The AmericanStatistician, November 2004)
".I found this book the most easily readable statisticsbook ever. The credit for this certainly goes to PhillipGood." (E-STREAMS, September 2004)
".useful to students and professionals in the fieldsof research, industry, medicine, and government."(Zentralblatt Math, Vol. 1032, No.7, 2004)
".provides an easily understood foundation forstatistical practice.clearly written and well divided into shortsections" (CMRO- Current Medical Research &Opinions, Vol.20 No. 7, 2004)
"So, let me recommend 'CE' to all those who interact withstatistics, whatever their level of statisticalunderstanding." (Stats 40, Spring 2004)
"An excellent resource. Highly recommended."(Choice, June 2004, Vol. 41 No. 10)
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