Statistics

Zusatztext

<p><b><i>"...I know of no better book of its kind..." (Journal of the Royal Statistical Society, Vol 169 (1), January 2006)</i></b></p><p>A revised and updated edition of this bestselling introductory textbook to statistical analysis using the leading free software package R</p><p>This new edition of a bestselling title offers a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a wide range of disciplines. Step-by-step instructions help the non-statistician to fully understand the methodology.  The book covers the full range of statistical techniques likely to be needed to analyse the data from research projects, including elementary material like t--tests and chi--squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling.</p><p>Includes numerous worked examples and exercises within each chapter.</p>

Autorenportrait

<p><strong>Michael J. Crawley</strong>, FRS, Department of Biological Sciences, Imperial College of Science, Technology and Medicine. Author of three bestselling Wiley statistics titles and five life science books.

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