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Guest Blogger

Blog posts from people who are applying statistics and data analysis to their quality improvement projects and personal interests. Would you like to submit a post? Contact publicrelations(at)minitab.com 

by Matthew Barsalou, guest blogger Process capability analysis using Minitab Statistical Software’s Capability SixpackTM can be taught using a catapult. A process capability analysis is performed to determine if a process is statistically capable. In my last blog post, I collected data from a first run of catapult results and found that the run not only had a large amount of variability, it also... Continue Reading
by Matthew Barsalou, guest blogger We can use a simple catapult to teach process capability analysis using Minitab Statistical Software’s Capability SixpackTM. Here's how. A process capability analysis is performed to determine if a process is statistically capable. Based on the results of the capability study, we can estimate the amount of defective components the process would produce. However, a pr... Continue Reading

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by Cory Heid, guest blogger Almost all of us have tried a Tootsie Pop at some point. I’m willing to bet that most of us also thought, “I wonder how many licks it does take to get to the center of the Tootsie Pop?” If you haven’t wondered about this, here’s the classic commercial that may get you more curious: Personally, I was not very satisfied with the owl's answer of “3,” so I decided to continue... Continue Reading
by Matthew Barsalou, guest blogger In my last post, I shared my plans for building a simple do-it-yourself catapult for performing experiments to practice using design of experiments (DOE).  That's the completed catapult there on the right. If you want to build your own, here are my plans and instructions in a PDF.   Now that my catapult is built, I have one last step to complete:  to find the... Continue Reading
by Matthew Barsalou, guest blogger I needed to find a way to perform experiments to practice using design of experiments (DOE), so I built a simple do-it-yourself (DIY) catapult. The basic plan for the catapult is based on the table-top troll catapult from http://www.stormthecastle.com/catapult/how-to-build-a-catapult.htm. My catapult is not as attractive as the troll catapult; my goal was to build... Continue Reading
by Robb Richardson, guest blogger One of the things that I love most about my job is that I get to help educate, coach, and develop others on topics such as continuous improvement and data analysis. In that capacity, one of the most frequently seen challenges is that team members and managers want to react to every data point. Their intentions are noble – but doing so is almost always an unnecessary... Continue Reading
by Matthew Barsalou, guest blogger For want of a nail the shoe was lost,For want of a shoe the horse was lost,For want of a horse the rider was lostFor want of a rider the battle was lostFor want of a battle the kingdom was lostAnd all for the want of a horseshoe nail. (Lowe, 1980, 50) According to the old nursery rhyme, "For Want of a Nail," an entire kingdom was lost because of the lack of one... Continue Reading
by Matthew Barsalou, guest blogger In Jim Frost’s article “How to Be a Ghost Hunter with a Statistical Mindset,” he correctly pointed out the difficulties in distinguishing small effects from natural variation. However, he did not mention the benefits of doing measurement system analysis (MSA) in both ghost hunting as depicted by his example and in the statistical study using Minitab.In industrial... 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