Statistics Spotlight

2017

Statistics Spotlight: Speaking the Same Language

by Barsalou, Matthew

There is much overlap between a statistician and a quality professional. There is also a half a world of difference between them....


Statistics Spotlight: Fallacies of Statistical Significance

by Doganaksoy, Necip; Hahn, Gerald J.; Meeker, William Q.

Statistical significance (or hypothesis) tests, and the related concept of p-values, are popular tools in statistical data analysis....


Statistics Spotlight: The Inevitable Disagreement

by Anderson-Cook, Christine M.

Disagreements in the workplace or elsewhere are inevitable, particularly when several individuals must make decisions. Differences in opinions at the water cooler have much less impact compared to a team needing to unite to determine what action to take....


Statistics Spotlight: But the Penguin Isn’t in a Vacuum

by Barsalou, Matthew

I once took a summer semester physics class. The course covered the same material as a regular semester, but met for half a day five times a week to finish in less time than a regular class....


Statistics Spotlight: Controlling Multiple Sources

by Hare, Lynne B.; Altan, Stan; Burdick, Richard K.

Stop us if you’ve heard this one before. Three statisticians walk into a manufacturing plant. The first statistician says, “You know, 20 years ago, I taught them how to use Shewhart control charts here.”...


Statistics Spotlight: On the Clock

by Seaman, Julia E.; Allen, I. Elaine

Estimation models are widely used throughout different industries to maximize efficiency and make future plans. Unlike academic research, these models may emphasize utility and ease of use rather than accuracy and completeness....


Statistics Spotlight: Strategic Structure—the Big Picture

by Hoerl, Roger W.; Snee, Ronald D.

Some time has passed since Six Sigma was introduced and lean Six Sigma was developed. Meanwhile, the world and its needs have changed. In last month’s Statistics Spotlight, we argued that it is time for quality improvement to adopt a new paradigm....


Statistics Spotlight: Time for Lean Six Sigma 2.0?

by Snee, Ronald D.; Hoerl, Roger W.

One of the primary roles of statisticians and quality professionals is to help their organizations solve problems and improve their performance. Lean Six Sigma has proven over decades to be an effective approach to improvement....


Statistics Spotlight: Revisiting the Old Seven

by Barsalou, Matthew

The seven quality tools, also known as the old seven or the classic seven, are easy-to-use methods that every quality professional should know. These tools were first collected in Kaoru Ishikawa’s classic book Guide to Quality Control....


Statistics Spotlight: What’s Driving Uncertainty?

by Anderson-Cook, Christine M.

One of the substantial improvements to the practice of data analysis in recent decades is the change from reporting just a point estimate for a parameter or characteristic to now including a summary of uncertainty for that estimate....


Statistics Roundtable: Is Heterogeneity Your Friend?

by Allen, I. Elaine; Seaman, Julia E.

Identifying, eliminating or controlling heterogeneity is a fundamental principle in many statistical techniques. Heterogeneity and its opposite, homogeneity, refer to how consistent or stable a particular data set or variable relationship are....


Statistics Roundtable: Designing Experiments

by Hare, Lynne B.

Experimental design may not be what you think it is. Design is an amazing business tool. It is not a tool solely for finding settings to produce an optimal response....



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