Introduction to Statistics Through Resampling Methods and Microsoft Office Excel,

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.

Autorentext
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.

Zusammenfassung
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.

Inhalt
Preface.

1. Variation (or What Statistics Is All About).

2. Probability.

3. Distributions.

4. Testing Hypotheses.

5. Designing an Experiment or Survey.

6. Analyzing Complex Experiments.

7. Developing Models.

8. Reporting Your Findings.

9. Problem Solving.

Appendix: An Microsoft Office Excel Primer.

Index to Excel and Excel Add-In Functions.

Subject Index.