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More About This Title Common Errors in Statistics (and How to Avoid Them)
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JAMES W. HARDIN, PhD, is a lecturer and Assistant Research Scientist in the Department of Statistics at Texas A&M University.
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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.
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