Table of Contents

Preface. Part I. Foundations. 1. Sources of Error. 2. Hypotheses: The Why of Your Research. 3. Collecting Data. Part II. Hypothesis Testing and Estimation. 4. Estimation. 5. Testing Hypotheses: Choosing a Test Statistic. 6. Strengths and Limitations of Some Miscellaneous Statistical Procedures. 7. Reporting Your Results. 8. Graphics. Part III. Building a Model. 9. Univariate Regression. 10. Multivariate Regression. 11. Validation. Appendix A. Appendix B. Glossary, Grouped by Related but Distinct Terms. Bibliography. Author Index. Subject Index.

About the Author

PHILLIP I. GOOD, PhD, is an Operations Manager for Information Research in Huntington Beach, California. He is the author of A Manager's Guide to the Design and Conduct of Clinical Trials, published by Wiley, as well as numerous other books. JAMES W. HARDIN, PhD, is a lecturer and Assistant Research Scientist in the Department of Statistics at Texas A&M University.

Reviews

"...provides an easily understood foundation for statistical practice...clearly written and well divided into short sections" (CMRO- Current Medical Research & Opinions, Vol.20 No. 7, 2004) "So, let me recommend 'CE' to all those who interact with statistics, whatever their level of statistical understanding..." (Stats 40, Spring 2004) "An excellent resource. Highly recommended." (Choice, June 2004, Vol. 41 No. 10)