Tips and Techniques for Statistics and Quality Improvement

Blog posts and articles about using Minitab software in quality improvement projects, research, and more.

My name is Andy Cheshire, and I currently work in Minitab's Technical Support department. Every day, I assist professionals who have questions about how to use Minitab to accomplish their analyses. Sometimes the call can be as simple as how to find a specific menu in Minitab. Other times, it can be more statistical in nature, as I try to explain how one Gage tool differs from another. The range of ... Continue Reading
Value stream mapping is a tremendously valuable tool for improving a process, but it requires patience and careful attention to details.  In an earlier post, I shared some value stream map guidelines to help ensure that the energy you invest pays off.  Here are some additional items to consider.  Identify critical paths and bottlenecks.Your map may reveal a number of potential areas... Continue Reading


Chicago, IL | 11-12 September, 2017


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Value stream mapping is a cornerstone of the Lean process improvement methodology, and also is a recognized tool used in Six Sigma. A value stream map illustrates the flow of materials and information as a product or service moves through a process. Creating a “current state” value stream map can help you identify waste and also makes it easier to envision an improved state for process in the... Continue Reading
Today we announced the winner of the Minitab Experiment ContestFord, Bobcat, Smith & Nephew, Metalor, and more than a dozen other companies from many different industries entered the contest, which focused on using a statistical technique called Design of Experiments (DOE) to solve business problems.Quality improvement professionals use DOE to create experiments that provide insight into how... Continue Reading
Careful data analysis is always important, but sometimes we need to quickly get a sense of the relationship between variables or factors.  It’s also true that pictures speak louder than raw data – you may have analyzed every last scrap of your data and run every possible test to confirm your analysis, but an effective graph shows people what your data mean in much less time than a collection of... Continue Reading
Some people take to statistics and data analysis naturally. They're attracted to numbers and aren't intimidated by formulas full of arcane symbols drawn from long-dormant languages. That's not me.  My name is Eston Martz, and I gravitate to words, not numbers. In school I was the kid completely unfazed by William Faulkner and James Joyce. But Statistics? It stupefied me. I feared it. And that's a... Continue Reading
We use statistics because it's usually not practical to collect all of the data from an entire population. Instead, we sample the population, and then use statistics for that random sample to draw conclusions about the whole population.Many common statistical procedures require data to be approximately normal -- in other words, to roughly follow the bell curve.  But what happens when you have a... Continue Reading