Eston Martz
Control charts take data about your process and plot it so you can distinguish between common-cause and special-cause variation. Knowing the difference is important because it permits you to...
Eston Martz
The Six Sigma quality improvement methodology has lasted for decades because it gets results. Companies in every country around the world, and in every industry, have used this logical, step-by-...
Eston Martz
Six Sigma is a quality improvement method that businesses have used for decades—because it gets results. A Six Sigma project follows a clearly defined series of steps, and companies in every...
Eston Martz
The language of statistics is a funny thing, but there usually isn’t much to laugh at in the consequences that can follow when misunderstandings occur between statisticians and nonstatisticians. We...
Eston Martz
A member of Minitab’s LinkedIn group asked how to create a chart to monitor change by month, specifically comparing last year’s data to this year’s data. My last post showed how to do...
Eston Martz
At last month’s Minitab Insights conference, experts from a wide range of industries offered some great lessons about how they use data analysis to improve business practices and solve a variety of...
Eston Martz
If you were among the 300 people who attended the first-ever Minitab Insights conference last month, you already know how powerful it was. Attendees learned how practitioners from a wide range...
Eston Martz
A recent post at Ben Orlin’s always amusing mathwithbaddrawings.com blog nicely encapsulates why so many people feel wary about anything related to statistics and data analysis. Take a moment...
Eston Martz
There’s plenty of noisy disagreement about the state of healthcare, but when you look beyond the controversies, a great deal of common ground exists.
Many agree that the way we’ve been doing...
Eston Martz
If you want to convince someone that at least a basic understanding of statistics is an essential life skill, bring up the case of Lucia de Berk. Hers is a story that’s too awful to be true—except...
