Join the Statistics Division on December 1st at 1:00 – 2:00 PM Eastern for a webinar to be given by Karen Grace-Martin, statistical consultant, president and founder of The Analysis Factor.
You’ve probably heard about many different approaches to dealing with missing data, and you’ve probably gotten different opinions about which one you should use. In this webinar, you’ll get an overview of:
• the three types of missing data, and how they affect the approach to take
• the common approach that is generally worse than any other
• the easy, common, seemingly bad approach that often isn’t so bad, and the situations when it doesn’t work
• the two approaches that give unbiased results, one that is very easy to implement, but only works in limited situations, and one that is harder to implement well, but works with any statistical analysis.
Congratulations to the 2016-2017 Ellis R. Ott Scholarship Winners!
Andy Walter has been teaching high school mathematics and coaching high school football for 10 years. He has taught Advanced Placement Statistics for 7 years, and has served as an AP Reader for two. He is currently pursuing a Master’s in Applied Statistics through the University of Kansas. His research interests are statistics education, education policy, and public policy. He and his wife Elizabeth live in Prairie Village, KS.
Matthew J. Keefe is currently a PhD candidate in the Department of Statistics at Virginia Tech. He earned his B.S. degree in Mathematics from Millersville University of Pennsylvania in 2012 and his M.S. degree in Statistics from Virginia Tech in 2013. He is an active collaborator in LISA (Virginia Tech’s Laboratory for Interdisciplinary Statistical Analysis), where he closely works with researchers in other fields. His research interests include statistical process monitoring and spatial statistics. Matthew plans to graduate in the spring of 2017. Afterwards, he plans to pursue a career in industry where he will apply his statistical knowledge to solve a wide variety of problems
The 60th Fall Technical Conference will be held in Minneapolis, MN, October 6-7, 2016. The theme of the conference is “Statistics & Quality: Twin Pillars of Excellence”. The program committee has put together an outstanding group of sessions including topics in design of experiments, statistical process control, big data, modeling and simulation. Friday concludes with a SPES special session.
Please make your hotel reservations early because there is a football game in town that weekend and rooms are going quickly.
Click below for full conference information. Register Now!
Join the Statistics Division on August 23rd at 12:00-1:00 PM Eastern for a webinar to be given by Wayne Adams, Consultant at Stat-Ease, Inc.
DSD’s require a more thoughtful approach to the analysis than is typical. By including the word “screening” in the name of the design, it is implied that they would be limited to only finding factors with significant linear effects. Because they are built with three levels of all the numeric factors, there are limited circumstances where a good approximation of the true response surface can be found.
These circumstances will be defined and then the focus of the presentation will shift to common situations where they are not necessarily true.
Analysis examples will be used to show:
- how the analysis and conclusions can be misleading
- what fixes can be applied
- better ways to go about building and using screening designs
Reserve your webinar seat now.
Join us for the 25th Annual ASQ Audit Division Conference in Memphis, TN. The “New Horizons in Auditing” conference will have Pre-Conference Courses on Oct. 17-19, followed by the main conference on Oct. 20-21. This conference focuses on the auditor’s role in identifying quality issues to improve performance, processes and systems, and controlling risk specific to new horizons in auditing.
Click below for full conference information. Register today!
Great news for those interested in becoming ASQ Certified. The Statistics Division is offering a Special Exam Administration at Fall Technical Conference on Saturday, October 8, 2016. There are four exams this year; Certified Quality Engineer, Certified Six Sigma Black Belt, Certified Six Sigma Green Belt and Certified Quality Process Analyst. So if you were thinking about taking the exam this year, apply now! The deadline for submitting your application is August 26, 2016.
If you need more information before making a commitment, follow this link to learn more about the different ASQ certifications or contact Brian Sersion, Certification Chair, at firstname.lastname@example.org
The Statistics Division is seeking nominations for the Chair-Elect, Secretary, and Treasurer positions for the term of January 1 – December 31, 2017. The Chair-Elect will be expected to continue as Chair in 2018 and Past-Chair in 2019.
Nominations from the general Division membership must be made by a signed petition with the support of at least 10 Statistics Division members. The petition should be submitted to the Statistics Division Secretary (Gary Gehring, email@example.com) by September 1. If more than one candidate is submitted for any position, an election will take place later in September.
Quality Progress, the flagship journal of ASQ, has been publishing the column “Statistics Roundtable” since 1999. With over 130 contributions from leading authors in applied statistics, the column has been highly successful and widely read. This book collects 90 of the most interesting and useful articles on some key topics. The editors have constructed this book to be a resource for statisticians and practitioners alike – with short, accessible, practical advice in important core areas of statistics from world-renowned experts. This book is intended to be an informative read, with bite-sized columns, as well as a starting point for deeper exploration of key statistical areas.
The book contains nine chapters with collections of articles on the following topics:
- Statistical engineering
- Data quality and measurement
- Data collection
- Key statistical tools
- Quality control
- Multiple response and meta-analysis
- Communication and training
Chapter introductions provide a quick overview of the material contained in the columns of that chapter, as well as complementary articles for that topic that appear elsewhere in the book. Also included at the end of the each chapter introduction is a short list of key references that can provide additional details or examples for material in the topic area.
Order here: http://asq.org/quality-press/display-item/index.html?item=H1508
Join the Statistics Division on Friday, June 17th at 11:00AM Eastern for a webinar to be given by Scott A. Laman
This presentation demonstrates how a risk management process can be used to drive product testing sample sizes and acceptance criteria. The outline includes:
- Risk as a foundation;
- Sample size statistics;
- Sample sizes in design verification;
- Sample sizes in customer evaluations/surveys
Basic risk management concepts and statistics background are covered first. Then the presentation transitions to applying the concepts to some of the types of testing performed during product design and development.
With respect to internal testing that may be done during design verification, methods for risk-based sample size determination and statistical analysis are presented. A risk analysis tool called a hazard analysis is utilized for both attribute and variable testing. The key mathematical formula for determining sample sizes for attribute testing is shown, and then the hazard analysis severity rating scale is correlated with varying levels of confidence and reliability that must be demonstrated for passing test results. For the more complex subject of variable data, it will be demonstrated how sample sizes must take into account power and the desired difference to detect, while acceptance criteria remain directly tied to the hazard analysis severity scale.
External testing can be a customer evaluation, survey, or limited release. For these types of studies, which often are in the form of questionnaires, an approach to the analysis of Likert Scale surveys, as well as yes/no surveys, is presented. The methodology is based on the One-Sample Sign Test with a strategic null hypothesis. Example survey data are consolidated and analyzed, and the output of the statistical analysis explained. The structure of an acceptance criteria table is a takeaway, as examples of results that pass the acceptance criteria for different samples sizes are listed.
Taken together, these tools provide a comprehensive, defendable and truly risk-based portfolio of statistical methods for product testing in design.
Reserve your webinar seat now.
Join the Inspection Division and Quality Management Division on June 21st at 12:30 PM Eastern for their joint webinar on Acceptance Sampling, given by John Vandenbemden.
Acceptance sampling is a common quality control technique and is useful because obtaining data on every member of a population is often impossible, impractical, or too costly to collect.
Sampling lets you draw conclusions about the population from which the sample is drawn and is a compromise between doing 100% inspection or no inspection.
This webinar will include a brief introduction of the history of acceptance sampling, the terminology and a walk through of how to use both Variable and Attribute Acceptance Sampling. ANSI/ASQ z1.4 will be used to demonstrate how to use the associated sampling tables.
Reserve your webinar seat now.