Intro Statistics Resamp Excel - Softcover

Good, Phillip I.

Softcover

ISBN 10: 0471731919 ISBN 13: 9780471731917

Verlag: John Wiley & Sons, 2005

Inhaltsangabe

Learn statistical methods quickly and easily with the discovery method

With its emphasis on the discovery method, this publication encourages 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, t-test, 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

Throughout the text, Microsoft Office Excel(r) is used to illustrate new concepts and assist readers in completing exercises. An Excel Primer is included as an Appendix for readers who need to learn or brush up on their Excel skills.

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:
* More than 100 exercises scattered throughout the text stimulate readers' thinking and actively engage them in applying their newfound skills
* Companion FTP site provides access to all data sets discussed in the text
* An Instructor's Manual is available upon request from the publisher
* Dozens of thought-provoking questions in the final chapter assist readers in applying statistics to solve real-life problems
* Helpful appendices include an index to Excel and Excel add-in functions

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 to both students and practitioners.

Über diesen Titel

Über die Autorin bzw. den Autor

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 popular articles, and fourteen books, including Common Errors in Statistics (and How to Avoid Them) (with J. Hardin) and A Manager's Guide to the Design and Conduct of Clinical Trials, both from Wiley.

Von der hinteren Coverseite

Learn statistical methods quickly and easily with the discovery method

With its emphasis on the discovery method, this publication encourages 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, t-test, 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

Throughout the text, Microsoft Office Excel® is used to illustrate new concepts and assist readers in completing exercises. An Excel Primer is included as an Appendix for readers who need to learn or brush up on their Excel skills.

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:

• More than 100 exercises scattered throughout the text stimulate readers' thinking and actively engage them in applying their newfound skills
• Companion FTP site provides access to all data sets discussed in the text
• An Instructor's Manual is available upon request from the publisher
• Dozens of thought-provoking questions in the final chapter assist readers in applying statistics to solve real-life problems
• Helpful appendices include an index to Excel and Excel add-in functions

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 to both students and practitioners.

With its emphasis on the discovery method, this publication encourages 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, t-test, 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

Throughout the text, Microsoft Office Excel® is used to illustrate new concepts and assist readers in completing exercises. An Excel Primer is included as an Appendix for readers who need to learn or brush up on their Excel skills.

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:

• More than 100 exercises scattered throughout the text stimulate readers' thinking and actively engage them in applying their newfound skills
• Companion FTP site provides access to all data sets discussed in the text
• An Instructor's Manual is available upon request from the publisher
• Dozens of thought-provoking questions in the final chapter assist readers in applying statistics to solve real-life problems
• Helpful appendices include an index to Excel and Excel add-in functions

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 to both students and practitioners.

Details zur Ausgabe

• Verlag: John Wiley & Sons
• Erscheinungsdatum: 2005
• Sprache: Englisch
• ISBN 10: 0471731919
• ISBN 13: 9780471731917
• Einband: Taschenbuch
• Auflage: 1
• Anzahl der Seiten: 244
• Kontakt zum Hersteller: Wiley-VCH GmbH; product_safety@wiley.com; ; Boschstrasse 12; Weinheim; 69469; Deutschland