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Six Sigma Green Belt

Blog posts and articles about analyzing data for Six Sigma quality improvement projects.

Statistics can be challenging, especially if you're not analyzing data and interpreting the results every day. Statistical software makes things easier by handling the arduous mathematical work involved in statistics. But ultimately, we're responsible for correctly interpreting and communicating what the results of our analyses show. The p-value is probably the most frequently cited statistic. We... Continue Reading
While the roots of Lean Six Sigma and other quality improvement methodologies are in manufacturing, it’s interesting to see how other organizational functions and industries apply LSS tools successfully. Quality improvement certainly has moved far beyond the walls of manufacturing plants! For example, I recently had the opportunity to talk to Drew Mohler, a Lean Six Sigma black belt and senior... Continue Reading

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This week I'm at the American Society for Quality's World Conference on Quality and Improvement in Nashville, TN. The ASQ conference is a great opportunity to see how quality professionals are tackling problems in every industry, from beverage distribution to banking services.  Given my statistical bent, I like to see how companies apply tools like ANOVA, regression, and especially... Continue Reading
Learning to ride a bike is a rite of passage for any kid, so much so that we even use the expression "taking the training wheels off" for all kinds of situations. We say it to mean that we are going to let someone perform an activity on their own after removing some safeguard, even though we know they will likely experience failures before becoming proficient at it. You see, riding a bike requires... Continue Reading
I recently had the opportunity to talk with Ken Jones, professor of operations and supply chain management at Indiana State University, about a business process improvement course he teaches at the university. The course covers a variety of Lean Six Sigma tools and techniques and gives students the opportunity to team with local businesses to complete real quality improvement projects. Upon... Continue Reading
We usually think of games as a distraction—just something we do for fun. However, growing evidence suggests that games can do much more, especially when it comes to learning in a classroom setting. Because statistics is a topic that doesn’t come easily to most, using properly designed games to teach statistics can become a valuable tool to spark interest and help explain difficult concepts. So what... Continue Reading
I recently had the chance to talk to Brett Warland, global director of process improvement at PolyOne Corporation. The word “global” is often present in the titles of many organization’s process improvement programs and employee job titles that deal with quality. This can convey not only an international emphasis on process improvement at worldwide branches of the company, but also that CI methods... Continue Reading
by Manikandan Jayakumar, guest blogger In an earlier post, I discussed how to collect data in a Design of Experiments (DOE) to optimize the value of an attribute or categorical response (Pass/Fail, Accept/Reject, etc.).  I then showed how to convert the collected data into proportions and apply the arcsine transformation using built-in calculator in Minitab Statistical Software.    Now we’re ready... Continue Reading
by Manikandan Jayakumar, guest blogger We use Design of Experiments (DOE) to optimize the value of a response (Y) by simultaneously changing the values of several factors (X’s). The response will often be a continuous variable, but in some scenarios you need to optimize an attribute or categorical response (Pass/Fail, Accept/Reject, etc.).  Collecting the Data for an Attribute Response DOE Let’s see... Continue Reading
The Minitab Fan section of the Minitab blog is your chance to share with our readers! We always love to hear how you are using Minitab products for quality improvement projects, Lean Six Sigma initiatives, research and data analysis, and more. If our software has helped you, please share your Minitab story, too! Yes, I am married to Minitab... In your professional life, you have to be married to... Continue Reading
Last week, I wrote about the excitement of working in an environment where your job is to push back the boundary of what is unknown. The interaction between messy reality and neat, usable data is an interesting place that ties together the lofty goals of scientists to the nitty-gritty world.This time, I’m going bring it to life on a more personal level. While my experiences are in academic... Continue Reading
Lately, I've been thinking a lot about the "perfect" proportion. We’re adding a sunroom to our house and debating the best dimensions for the rectangular addition. Naturally, "the golden ratio" is an enticing option. Also called the Divine Proportion, the golden ratio has gotten a lot of buzz over the centuries. Its basis is simple yet profound. Take a line segment and divide it into two segments... Continue Reading
Statistics can be confusing, especially when you look under the hood at the mathematical engines that underlie it. That's why we use statistical software to do so much of the work for us, and why we use tools like p-values to help us make sense of what our data are saying.The p-value is used in basic statistics, linear models, reliability, multivariate analysis, and many other methods. It's a ... Continue Reading