Recently I have had several questions about which bias correction factors to use when working with industrial data. Some books use one formula, other books use another, and the software may use a third formula. Which one is right?
Whatever the process or type of data collected, all data display variation. This is also true in software development.
During the past three months James Beagle and I presented columns that made extensive use of analysis of means techniques.
Soon after the Great Recession, the U.S. stock markets plunged—and rebounded within 36 minutes.
In everyday language, “in control” and “under control” are synonymous with “in specification.” Requirements have been met. Things are OK. No trouble.
During the early 1980s, GM, Ford, and Chrysler established the Automotive Industry Action Group (AIAG), a not-for-profit organization with the mission “To improve its members’ competitiveness through a cooperative effort of North American vehicle manufacturers and th
Recently, I’ve had a sad, increasing sense of déjà vu. Twitter has become even more vacuous, and LinkedIn has quickly devolved into a business version of Facebook.
When I first learned quality improvement back in 1989 at Florida Power and Light, the consultants who trained us taught a very specific way to draw a Pareto chart.
Current business conversation often focuses on data and big data. Data are the raw information from which statistics are created and provide an interpretation and summary of data.