Ebook: Common Errors in Statistics (And How to Avoid Them), Fourth Edition

Content:
Chapter 1 Sources of Error (pages 1–13):
Chapter 2 Hypotheses: The why of your Research (pages 15–29):
Chapter 3 Collecting Data (pages 31–55):
Chapter 4 Data Quality Assessment (pages 57–63):
Chapter 5 Estimation (pages 65–78):
Chapter 6 Testing Hypotheses: Choosing a Test Statistic (pages 79–118):
Chapter 7 Strengths and Limitations of Some Miscellaneous Statistical Procedures (pages 119–137):
Chapter 8 Reporting your Results (pages 139–164):
Chapter 9 Interpreting Reports (pages 165–179):
Chapter 10 Graphics (pages 181–212):
Chapter 11 Univariate Regression (pages 213–235):
Chapter 12 Alternate Methods of Regression (pages 237–249):
Chapter 13 Multivariable Regression (pages 251–266):
Chapter 14 Modeling Counts and Correlated Data (pages 267–275):
Chapter 15 Validation (pages 277–285):