introduction to statistics through resampling methods and r, 2nd edition

phillip i. good · wiley

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with its emphasis on the discovery method, this book allows readers to discover solutions on their own rather than simply copy answers or apply a formula by rote. readers quickly master and learn to apply statistical methods, such as bootstrap, decision trees, and permutations, to better characterize, report, test, and classify their research findings. in addition to traditional methods, specialized methods are covered, allowing readers to select and apply the most effective method for their research, including: · tests and estimation procedures for one, two, and multiple samples · model building · multivariate analysis · complex experimental design new to this edition is increased clarity where needed; increased focus on why a methods is introduced; multiple explanations of basic concepts; additional exercises with hints; and additional applications in business and the behavioral sciences. throughout the text, the r programming language is used to simplify tedious computations, illustrate new concepts, and assist readers in completing exercises. readers may download the freely available r programming language from the internet. screen shots are provided throughout the book

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