Phillip I.Good, James W.Hardin – Common Errors in Statistics

The first edition of common errors in statistics was praised.

Common Errors are recommended to all those who interact with statistics, regardless of their level of statistical understanding. There are 40 statistics.

Good practice is defined by the people who define it rather than by the people who try to emulate it. The Journal of Biopharmaceutical Statistics.

Highly informative, enjoyable to read, and of potential use to a broad audience. It should be on the shelf of many statisticians and researchers. The American Statistician is a Statistician.

”,,,,,,,,,,,,,,,,,,,,,,,,,,,, I found this book easy to read. The credit for this goes to Phillip Good. E-STREAMS.

There is a guide to the proper application of statistics.

The second edition of Common Errors in Statistics (and How to Avoid Them) is a must-read for anyone interested in understanding statistical procedures, problems, and solutions. The field guide analyzes common mistakes, debunks popular myths, and helps readers choose the best and most effective statistical technique for each task.

The book was written for both the academic and the professional who use statistics in their work. The second edition has been extensively revised. There are additional charts and graphs. There are two new chapters, Interpreting Reports and Which Regression Method? There are new sections on practical versus statistical significance. The authors have online courses at statistics.com. Material on unbalanced designs, report interpretation, and alternative modeling methods have been added.

With a final emphasis on both finding solutions and the great value of statistics when applied in the proper context, this book is useful to students and professionals in the fields of research, industry, medicine, and government.