The W. Edwards Deming Institute Blog

Posts Tagged ‘statistics’

Ron Moen’s Presentation: Prediction is the Problem

Guest post by John Hunter, author of the Curious Cat Management Improvement Blog. The video shows the presentation by Ron Moen, Prediction is the Problem, at our 2012 annual conference. A previous post on our blog in 2013 included a clip from this talk and explored Ron’s thoughts which might be of interest if you […]

2017 ASA Deming Lecture, W. Edwards Deming – A Kaizen Statistician

Guest post by John Hunter, author of Management Matters: Building Enterprise Capability. 2017 ASA Deming Lecture, W. Edwards Deming – A Kaizen Statistician, by Fritz Scheuren, NORC-University of Chicago. In his presentation, Fritz provides a personal view of W. Edwards Deming the man and Deming’s ideas. That’s the way people understood Deming. As a critic, […]

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 […]

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. […]

Industrial Statistics – Research vs Practice

2013 American Statistical Association (ASA) Deming Lecture: Industrial Statistics – Research vs Practice by Vijay Nair, University of Michigan. In his talk Dr. Nair referenced the article, W. Edwards Deming: The Story ofa Truly Remarkable Person, by Robert B. Austenfeld. He also referenced Dr. Deming becoming famous in the USA overnight, at the age of […]

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 […]

Understanding Data is Often Challenging

Using data to understand the system and validate our theories and successful improvements is an important part managing well. In some cases it is fairly easy to understand and collect data that provides a clear and accurate measure of what we care about. But getting data that helps can also be very challenging. Creating a […]