Common Errors in Statistics (And How to Avoid Them)

Lays a mathematical foundation for understanding statistical procedures, problems, and solutions. This book covers creating a research plan, formulating a hypothesis, specifying sample size, checking assumptions, interpreting p-values and confidence intervals, building a model, data mining, Bayes' Theorem, the bootstrap, and many other topics.

List of contents

From the 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

Product details

• Authors: Phillip I. Good, Phillip I. Hardin Good, James W. Hardin
• Publisher: Wiley, John and Sons Ltd
• Languages: English
• Product format: Paperback / Softback
• Released: 13.06.2006
• EAN: 9780471794318
• ISBN: 978-0-471-79431-8
• No. of pages: 272
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Statistik