The Statistics Division produces occasional publications on topic areas relevant to the applied statistics and quality community.

Statistics Digest: The Newsletter of the ASQ Statistics Division (3X annually)
The Statistics Digest provides a variety of articles and regular columns by some of the leading names in the field of applied statistics. The focus is practical examples and case studies for quality practitioners both learning and using statistical tools and methods. Topics at a variety of levels are included, allowing the reader to develop over time as their familiarity with statistical content grows. Published three times a year, the Digest began in 2014, evolving from the original Statistics Division Newsletter, itself first published in 1980.  An archive of Digests and newsletters is available here.

Statistical Roundtables: Insights and Best Practices (2016)
Edited by frequent contributor and Past-Chair Christine Anderson-Cook and Lu Lu, this book includes a comprehensive collection representing 10 years of the popular “Statistics Roundtable” articles, a regular feature in Quality Progress now called “Statistics Spotlight”. A portion of the proceeds goes to the Ellis R. Ott Scholarship fund. The book was reviewed in the Jan 2017 issue of the Journal of Quality Technology (JQT). More information, including the book review, is available here: This book is available at ASQ Press:

Glossary and Tables for Statistical Quality Control, Fourth Edition (e-book) (2004)
This best-selling reference on quality control is an excellent resource, with technical terms and definitions accessible to quality professionals at all levels. Definitions also parallel national and international standards and are categorized into sections that make it easy to identify by subject matter.
Available at ASQ Press:

Basic References in Quality Control : The How To... Series
This popular series is no longer available in hard copy, but still available electronically for a nominal cost. Written by experts in their field, these books originally published 1984 to 1993) are practical guides to specific topics that focus on exactly 'how to' do something - and why.
  1. How to Analyze Data with Simple Plots, by Wayne Nelson
  2. How to Perform Continuous Sampling, 2nd Edition, by Kenneth S. Stephens
  3. How To Test Normality And Other Distributional Assumptions, Revised Edition, by Samuel S. Shapiro
  4. How to Perform Skip-Lot and Chain Sampling, 2nd Edition, by Kenneth S. Stephens
  5. How to Run Mixture Experiments for Product Quality, by John A. Cornell
  6. How to Analyze Reliability Data, by Wayne Nelson
  7. How And When To Perform Bayesian Acceptance Sampling, by Thomas W. Calvin
  8. How to Apply Response Survey Methodology, by John A. Cornell
  9. How to Use Regression Analysis in Quality Control, by Douglas C. Crocker
  10. How to Plan an Accelerated Life Test - Some Practical Guidelines, by Gerald J. Hahn and William Q. Meeker
  11. How to Perform Statistical Tolerance Analysis, by Neil Cox
  12. How To Choose The Proper Sample Size, by Gary G. Brush
  13. How to Use Sequential Statistical Methods, by Thomas P. McWilliams
  14. How to Construct Fractional Factorial Experiments, by Richard Gunst and Robert Mason
  15. How To Determine Sample Size And Estimate Failure Rate In Life Testing, by Eduardo C. Moura
  16. How to Detect and Handle Outliers, by Boris Iglewicz and David Hoaglin

SPC Pocket Guide/ Reference Cards
The SPC Pocket Guide is a concise guide to all things SPC. A great reference for the CQE or other certification exams! Visit the Division booth at WCQI to get your own copy. For larger volume requests, contact the chair for information.

It's all too much! How should I decide what to read?? The following 1984 JQT article by Hahn & Meeker provides some guidance.
"Can you suggest a book that will give me a better understanding of statistics and data analysis?" This request is made frequently by engineers and scientists. The appropriate response depends on the questioner's mathematical maturity and previous exposure to statistics, the application area(s) of interest, and the depth of discussion desired. This guide provides an annotated bibliography, grouped into the following subject areas: general introductory books (very elementary, elementary, etc.), mathematical statistics, sixteen specific application areas (error analysis, experimental design, multivariate analysis, etc.), five special methods, and statistical tables. Each subject area is reviewed briefly and a number of books are described. The descriptions are frequently based on quotations from the books and generally indicate the material covered and the assumed background of the reader.


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Resource Details

Mindy Hotchkiss
Mindy Hotchkiss
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Date Added: Apr 18, 2019
Date Last Modified: Jun 18, 2019
Category: Resources