The W. Edwards Deming Institute Blog

Archive for the ‘data’ Category

Red Beads and Profound Knowledge: Deming and Quality of Education

Sharon Lohr presented the 2014 American Statistical Association (ASA) Deming Lecture – Red Beads and Profound Knowledge: Deming and Quality of Education (slides with notes and references). Dr. Lohr earned her doctorate in statistics from the University of Wisconsin-Madison, where she learned about Deming’s philosophy and met Dr. Deming. Quoting W. Edwards Deming in her […]

Exploring Measurement, Presentation by Ian Bradbury

Ian Bradbury presented on Exploring Measurement at our 2016 annual conference. As usual his presentation is packed with great information. I strongly recommend watching (also see links to more presentations by him below). At the very beginning of his talk, Ian says Stuff happens a lot and nothing results from that. But sometimes stuff happens […]

Kevin Murphy’s Presentation: Application and Lessons of Deming’s Perspective on Leadership

Kevin Murphy’s presentation at the 14th In2:InThinking Annual Forum Weekend Conference: Application and Lessons of Deming’s Perspective on Leadership: [Vimeo plays the video automatically – which is obviously an extremely bad Ux practice. Even using their code to disable autoplay of the video doesn’t work. So I have removed the embedded video. You may view […]

Application of Statistical Methods in 1940

Dave Nave found an interesting forward from a set of 1985 standards on Control Charts. It describes how those standards were created as part of the World War II war effort, with Dr. Deming on the committee. Subsequently the standards were transfer to ASQ/ANSI. From the forward Upon request by the War Department, the American […]

Stratify Data to Hone in on Special Causes of Problems

We have a tendency to focus on special causes even when poor results are due to common causes within the system. To improve results that are due to the system trying to determine the specific problem with any bad result and fix that problem is an inefficient strategy. But there are times when seeking the […]

Eric Budd Presentation on Data and Operational Definitions

Eric Budd’s presentation at the 2016 Annual Deming Institute Conference: An Exercise in Operational Definition. The exercise Eric uses in the presentation shows how much variation can show up in data – just from how the data is collected. And in this example the data even has an operational definition used in collecting the data. […]

Applying Understanding of Variation to Large Datasets

Understanding Variation by Thomas Nolan, Rocco J. Perla and Lloyd Provost. There have been large changes in the use of data since the publication of Understanding Variation, by Thomas Nolan and Lloyd Provost. The new article discusses how to use an understanding of variation when working with large datasets (for example, government data). From the […]