Introduction to Statistics Through Resampling Methods and R/S-PLUS

Introduction to Statistics Through Resampling Methods and R/S-PLUS(r) aspires to introduce statistical methodology to a wide audience, simply, intuitively, and efficiently, through resampling from data at hand and by way of the computer programs R and S-PLUS. The objective of the book is to use quantitative methods to characterize, review, report on, test, estimate, and classify findings. Features include: * The R and S-PLUS¨ programming are used to illustrate the concepts and to aid the reader in completing the exercises. R may be downloaded, without charge, for use under Windows, UNIX, or the Macintosh. * One hundred or more exercises included in each chapter plus dozens of thought-provoking questions serve the needs of both classroom and self-study. The discovery method is utilized as often as possible, thereby forcing the conscientious reader to think her or his way to a solution rather than copy the answer or apply a formula straight out of the text * Chatty, informal, sometimes humorous writing style allows greater access to a variety of reader backgrounds and interests * Covers unusual topics such as tests and estimation procedures for one, two, and many samples; correlation; multivariable analysis; and complex experimental designs * Provides a web site free of charge to all end-users that includes all data sets and programs in the text

PHILLIP I. GOOD, PHD, is Operations Manager of Information Research, a consulting firm specializing in statistical solutions for private and public organizations. He has published more than thirty scholarly works, more than 600 articles, and fourteen books, including Common Errors in Statistics (and How to Avoid Them) and A Manager's Guide to the Design and Conduct of Clinical Trials, both from Wiley.