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 will 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:
Throughout the text, the R programming language is used to illustrate new concepts and assist readers in completing exercises. Readers may download the freely available R programming language from the Internet or take advantage of the menu-driven S-PLUSŪ program.
Written in an informal, highly accessible style, this text is an excellent guide to descriptive statistics, estimation, testing hypotheses, and model building. All the pedagogical tools needed to facilitate quick learning are provided:
This text serves as an excellent introduction to statistics for students in all disciplines. The accessible style and focus on real-life problem solving are perfectly suited for both students and practitioners.
"synopsis" may belong to another edition of this title.
"This is certainly one of the most impressive little paperback 200-page introductory statistics books that I will ever see...it would make a good nightstand book for every statistician." (Technometrics, May 2006)
"Good, a well-published statistical expert, is adept at introducing new ideas with well-structured scenarios, nicely illustrating his points, and presenting them in an effective, conversational tone." (CHOICE, January 2006)
"I would recommend this book to readers new to statistics, practitioners who lack the basics of statistical estimation and hypothesis, and students who need a side reference..." (MAA Reviews, January 3, 2006)
" ... clearly written and ha(s) a very informal style that is pleasant to read, making the text accessible to the many." (Significance: Vol. 3, 2)
"...the books have plenty of wise advice for the application of statistics..." (Bulletin of Mathematical Biology ,2007)
‘...a very good introduction to statistics and focuses on the variety of problems which will be of interest to students in different disciplines.’ (Statistical Papers,48, 2007)
"About this title" may belong to another edition of this title.
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