Content By Eston Martz

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By: Eston Martz


In regression analysis, we look at the correlations between one or more input variables, or factors, and a response. We might look at how baking time and temperature relate to the hardness of a piece of plastic, or how educational levels and the region of one’s birth relate to annual income. The number of potential factors you might include in a regression model is limited only by your imagination... and your capacity to actually gather the data you imagine.

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By: Eston Martz

When I talk to quality professionals about how they use statistics, one tool they mention again and again is design of experiments, or DOE. I’d never even heard the term before I started getting involved in quality improvement efforts, but now that I’ve learned how it works, I wonder why I didn’t learn about it sooner. If you need to find out how several factors are affecting a process outcome, DOE is the way to go.

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By: Eston Martz

Subcultures have languages all their own. Teen gangs, statisticians, gamers, music buffs, sports nuts, furries—all use terminology that baffles outsiders. The arcane language helps identify kindred spirits: Using the correct phrase proves you belong. The proper buzzwords can gain you admittance to the right professional circles—or the wrong biker bars. Maybe both.

Eston Martz’s picture

By: Eston Martz

It’s all too easy to make mistakes involving statistics. Statistical software can remove a lot of the difficulty surrounding statistical calculation, reducing the risk of mathematical errors, but correctly interpreting the results of an analysis can be even more challenging.

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