E-book: Statistical Techniques for Data Analysis

The first edition of this book appeared in 1990, and since then, computers have come on the scene for experimenters and data analysts. This second edition discusses basic statistical techniques and computer analysis and includes an introduction to the use of MINITAB statistical software. The presentation of each technique includes motivation and discussion of the statistical analysis, a hand-calculated example, the same example calculated using MINITAB, and discussion of MINITAB output. There is a new chapter on proportions, time to event data, and time series data in the metrology setting. While intended for self-study, the book can also be used as a text for a short course introducing statistical analysis or as a supplement for undergraduate and graduate majors in physical sciences and engineering. The late John Taylor was affiliated with the National Institute of Standards and Technology; Cihon is a biostatistician in the private sector. Annotation ©2004 Book News, Inc., Portland, OR (booknews.com)



Since the first edition of this book appeared, computers have come to the aid of modern experimenters and data analysts, bringing with them data analysis techniques that were once beyond the calculational reach of even professional statisticians. Today, scientists in every field have access to the techniques and technology they need to analyze statistical data. All they need is practical guidance on how to use them.

Valuable to everyone who produces, uses, or evaluates scientific data, Statistical Techniques for Data Analysis, Second Edition provides straightforward discussion of basic statistical techniques and computer analysis. The purpose, structure, and general principles of the book remain the same as the first edition, but the treatment now includes updates in every chapter, additional topics, and most importantly, an introduction to use of the MINITAB Statistical Software. The presentation of each technique includes motivation and discussion of the statistical analysis, a hand-calculated example, the same example calculated using MINITAB, and discussion of the MINITAB output and conclusions.

Highlights of the Second Edition:

" Detailed discussion and use of MINITAB in examples complete with code and output
" A new chapter addressing proportions, time to event data, and time series data in the metrology setting
" Additional material on hypothesis testing
" Discussion of critical values
" A look at mistakes commonly made in data analysis