Ebook: Common Errors in Statistics (and How to Avoid Them), Third Edition

"All statistics students and teachers will find in this book a friendly and intelligentguide to . . . applied statistics in practice."
-Journal of Applied Statistics

". . . a very engaging and valuable book for all who use statistics in any setting."
-CHOICE

". . . a concise guide to the basics of statistics, replete with examples . . . a valuablereference for more advanced statisticians as well."
-MAA Reviews

Now in its Third Edition, the highly readable Common Errors in Statistics (and How to Avoid Them) continues to serve as a thorough and straightforward discussion of basic statistical methods, presentations, approaches, and modeling techniques. Further enriched with new examples and counterexamples from the latest research as well as added coverage of relevant topics, this new edition of the benchmark book addresses popular mistakes often made in data collection and provides an indispensable guide to accurate statistical analysis and reporting. The authors' emphasis on careful practice, combined with a focus on the development of solutions, reveals the true value of statistics when applied correctly in any area of research.

The Third Edition has been considerably expanded and revised to include:

• A new chapter on data quality assessment

• A new chapter on correlated data

• An expanded chapter on data analysis covering categorical and ordinal data, continuous measurements, and time-to-event data, including sections on factorial and crossover designs

• Revamped exercises with a stronger emphasis on solutions

• An extended chapter on report preparation

• New sections on factor analysis as well as Poisson and negative binomial regression

Providing valuable, up-to-date information in the same user-friendly format as its predecessor, Common Errors in Statistics (and How to Avoid Them), Third Edition is an excellent book for students and professionals in industry, government, medicine, and the social sciences.

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 27–47):
Chapter 4 Data Quality Assessment (pages 49–55):
Chapter 5 Estimation (pages 57–66):
Chapter 6 Testing Hypotheses: Choosing a Test Statistic (pages 67–100):
Chapter 7 Miscellaneous Statistical Procedures (pages 101–114):
Chapter 8 Reporting Your Results (pages 115–137):
Chapter 9 Interpreting Reports (pages 139–147):
Chapter 10 Graphics (pages 149–173):
Chapter 11 Univariate Regression (pages 175–192):
Chapter 12 Alternate Methods of Regression (pages 193–203):
Chapter 13 Multivariable Regression (pages 205–216):
Chapter 14 Modeling Correlated Data (pages 217–223):
Chapter 15 Validation (pages 225–231):