Good P., Hardin J. Common Errors in Statistics and How to Avoid Them

4 ed. — John Wiley & Sons, 2012. — 336 p. — ISBN: 978-1-118-29439-0.Common Errors in Statistics (and How to Avoid Them), Fourth Edition provides a mathematically rigorous, yet readily accessible foundation in statistics for experienced readers as well as students learning to design and complete experiments, surveys, and clinical trials. Providing a consistent level of coherency throughout, the highly readable Fourth Edition focuses on debunking popular myths, analyzing common mistakes, and instructing readers on how to choose the appropriate statistical technique to address their specific task. The authors begin with an introduction to the main sources of error and provide techniques for avoiding them. Subsequent chapters outline key methods and practices for accurate analysis, reporting, and model building. The Fourth Edition features newly added topics, including:Foundations
Sources of Error
Hypotheses: The Why of Your Research
Collecting DataStatistical Analysis
Data Quality Assessment
Estimation
Testing Hypotheses: Choosing a Test Statistic
Miscellaneous Statistical ProceduresReports
Reporting Your Results
Interpreting Reports
GraphicsBuilding a model
Univariate Regression
Alternate Methods of Regression
Multivariable Regression
Modeling Correlated Data
Validation
Glossary, Grouped by Related but Distinct TermsAuthor Index
Subject Index