Introduction to Statistics Through Resampling Methods and Microsoft Office Excel

Learn statistical methods quickly and easily with the discoverymethod With its emphasis on the discovery method, this publicationencourages readers to discover solutions on their own rather thansimply copy answers or apply a formula by rote. Readers quicklymaster and learn to apply statistical methods, such as bootstrap,decision trees, t-test, and permutations to better characterize,report, test, and classify their research findings. In addition totraditional methods, specialized methods are covered, allowingreaders to select and apply the most effective method for theirresearch, including: * Tests and estimation procedures for one, two, and multiplesamples * Model building * Multivariate analysis * Complex experimental design Throughout the text, Microsoft Office Excel(r) is used toillustrate new concepts and assist readers in completing exercises.An Excel Primer is included as an Appendix for readers who need tolearn or brush up on their Excel skills. Written in an informal, highly accessible style, this text is anexcellent guide to descriptive statistics, estimation, testinghypotheses, and model building. All the pedagogical tools needed tofacilitate quick learning are provided: * More than 100 exercises scattered throughout the text stimulatereaders' thinking and actively engage them in applying theirnewfound skills * Companion FTP site provides access to all data sets discussed inthe text * An Instructor's Manual is available upon request from thepublisher * Dozens of thought-provoking questions in the final chapter assistreaders in applying statistics to solve real-life problems * Helpful appendices include an index to Excel and Excel add-infunctions This text serves as an excellent introduction to statistics forstudents in all disciplines. The accessible style and focus onreal-life problem solving are perfectly suited to both students andpractitioners.