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A student of mine had numerous questions about the various statistics used in Six Sigma. Here is my response to him in an open email:
The questions you are asking regarding “Where do these statistics come from?” require entire courses in statistics to answer. In Lean Six Sigma we take information from a dozen or so statistics courses, project management courses, psychology courses, business courses, mathematics courses, etc. and put it into an action framework that can be used to make fast improvements. We probably present less than 10% of the information you would receive if you sat through all of these courses, but we do so in less than 5% of the time it would take to complete all of these courses. It’s a tradeoff. We make the greatest compromises in the field of statistics. We discuss the use and interpretation of a select subset of statistics, and answer the question “where do these statistics come from?” by saying “they come from computer software.” While most are satisfied with this answer, some find the answer to be most unsatisfying. Judging from your questions, I suspect you are in the latter group.
Assuming you don’t have the time or the desire to take all of the courses relating to the Lean Six Sigma body of knowledge, but still seek answers to the specific statistics you asked about, I recommend the E-Handbook of Statistical Methods. This reference source is free and very comprehensive. It’s easy to search and will give you the answers you seek. For example, I searched on the term sum of squares, which you asked about, and the search returned pages on the half-normal probability plot (your question about fig. 10.26,) 1-way ANOVA (several of your question were about these calculations,) and several other related topics. A search on ss interaction provides answers to your question about the calculation of this intermediate statistic.
Sorry I can’t address all of your questions via email, but perhaps the reference above will start you on your way to answers. I had the same questions when I started learning about quality improvement nearly 45 years ago, and I am still looking for answers to questions today. Have fun!
Tom Pyzdek
I held a Webinar for Pyzdek Institute students entitled Statistical Surprises and Absurdities. Topics discussed included sampling bias, misused and misleading averages, distorting results by use of selective data weighting, selective reporting, missing information, distorted graphics, Say What? and So What? statistics, and much more! Here’s the recording
Here’s a link to the slides presented in the webinar.
The Laney p’ Control Chart is an exciting innovation in statistical process control (SPC). The classic control charts for attributes data (p-charts, u-charts, etc.) are based on assumptions about the underlying distribution of their data (binomial or Poisson). Inherent in those assumptions is the further assumption that the “parameter” (mean) of the distribution is constant over time. In real applications, this is not always true (some days it rains and some days it does not). This is especially noticeable when the subgroup sizes are very large. Until now, the solution has been to treat the observations as variables in an individual’s chart. Unfortunately, this produces flat control limits even if the subgroup sizes vary. David B. Laney developed an innovative approach to this situation which has come to be known as the Laney p’ chart (p-prime chart.) It is a universal technique that is applicable whether the parameter is stable or not.

David B. Laney
David B. Laney worked for 33 years at BellSouth as Directory of Statistical Methodology. He is a pioneer at BellSouth in TQM, DOE, and Six Sigma. David’s p-prime chart is an innovation that is being used in a wide variety of areas. It is now included in many statistical applications, such as Minitab and SigmaXL. David is enjoying retirement with his family in the Birmingham, Alabama area.
Session #1, 1:00 PM Eastern Time. Click here to register.
Session #2, 7:00 PM Eastern Time. Click here to register.
Click here to view a video recording of David’s webinar.
Click here to access the NIST/SEMATECH e-Handbook of Statistical Methods. NIST is an agency of the US Department of commerce, so this work was undertaken at public expense. It covers literally every statistical tool used in Lean Six Sigma, and many, many more. It includes hundreds of case studies and examples. Best of all, it’s free! Enjoy!
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Sept. — Nov. 2011 • Registration required
Each week JMP technical experts will delve into topics to help you master the extensive analysis and data visualization capabilities of JMP statistical discovery software.
Webcasts featuring a variety of topics will be held most Thursdays from 2 to 3 p.m. ET. Each session includes demos, examples, tips and tricks to help you become proficient in the topic of the day. Participants can submit questions to be answered during the session.
View the schedule and register.
Can’t make it to a live webcast? On-demand webcasts are available. View the list of topics.
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Each week our technical experts will delve into topics to help you master the extensive analysis and data visualization capabilities of JMP statistical discovery software. Webcasts featuring a variety of topics will be held most Thursdays from 2 to 3 p.m. ET. Each session includes demos, examples, tips and tricks to help you become proficient in the topic of the day. Participants can submit questions to be answered during the session. View the schedule and register. Webcast Schedule
Can’t make it to a live webcast? On-demand webcasts are available. View the list of topics.
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The slides presented in this webinar are now available, click here.
State College, PA (PRWEB) May 04, 2011
Minitab, the leading provider of software for quality improvement, is offering a free webinar to highlight how its process improvement software can support Lean Six Sigma projects. ”Meet Quality Companion” will be held on May 19, 2011, at 11:00 a.m. EDT (GMT-4:00). Registration is free at www.minitab.com/training/web-events/ Space is limited.
Starting in 2011 The Pyzdek Institute provides all of its online training students with 1-year licenses for Quality Companion, as well as Minitab. Quality Companion provides a large number of useful tools to help practitioners with their projects. These include a number of tools that are designed to help organize and track individual projects as they move through the DMAIC process, as well as tools to help design reports and presentations. It is possible to create customize Quality Companion templates for other types of projects, as well as for other purposes. For example, Pyzdek Institute students are provided with Quality Companion templates designed to reflect the training modules included in their particular training class.
In addition, Quality Companion integrates the various parts of the project. For example, variables identified as possible causes on a fishbone diagram are automatically shown when performing other analyses.
Besides being useful for managing individual projects, Minitab provides a free dashboard product that allows managers, Master Black Belts, and Black and Green Belts to keep track of portfolios of Quality Companion projects.
The complete webinar announcement, which includes a video overview of Quality Companion, is available here.