Ebook: Common Errors in Statistics (and How to Avoid Them), Second Edition
- Year: 2006
- Publisher: John Wiley & Sons
- Language: English
- pdf
Content:
Chapter 1 Sources of Error (pages 1–11):
Chapter 2 Hypotheses: The Why of Your Research (pages 13–25):
Chapter 3 Collecting Data (pages 27–43):
Chapter 4 Estimation (pages 45–56):
Chapter 5 Testing Hypotheses: Choosing a Test Statistic (pages 57–85):
Chapter 6 Strengths and Limitations of Some Miscellaneous Statistical Procedures (pages 87–100):
Chapter 7 Reporting Your Results (pages 101–117):
Chapter 8 Interpreting Reports (pages 119–124):
Chapter 9 Graphics (pages 125–144):
Chapter 10 Univariate Regression (pages 145–162):
Chapter 11 Alternate Methods of Regression (pages 163–173):
Chapter 12 Multivariable Regression (pages 175–186):
Chapter 13 Validation (pages 187–194):
Chapter 1 Sources of Error (pages 1–11):
Chapter 2 Hypotheses: The Why of Your Research (pages 13–25):
Chapter 3 Collecting Data (pages 27–43):
Chapter 4 Estimation (pages 45–56):
Chapter 5 Testing Hypotheses: Choosing a Test Statistic (pages 57–85):
Chapter 6 Strengths and Limitations of Some Miscellaneous Statistical Procedures (pages 87–100):
Chapter 7 Reporting Your Results (pages 101–117):
Chapter 8 Interpreting Reports (pages 119–124):
Chapter 9 Graphics (pages 125–144):
Chapter 10 Univariate Regression (pages 145–162):
Chapter 11 Alternate Methods of Regression (pages 163–173):
Chapter 12 Multivariable Regression (pages 175–186):
Chapter 13 Validation (pages 187–194):
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