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Tag Archives: Statistics
Factorial Designed Experiment Aim
Multivariate experiments are a very powerful management tool to learn and improve performance. Experiments in general, and designed factorial experiments in particular, are dramatically underused by managers. A question on LinkedIn asks? When doing a DOE we select factors with … Continue reading
How to Manage What You Can’t Measure
In Out of the Crisis, page 121, Dr. Deming wrote: the most important figures that one needs for management are unknown or unknowable (Lloyd S. Nelson, director of statistical methods for the Nashua corporation), but successful management must nevertheless take … Continue reading
Posted in Deming, Management, Popular, quote, Systems thinking
Tagged curiouscat, Data, Deming, management, managing people, Popular, quote, Statistics, Systems thinking, variation
12 Comments
Actionable Metrics
Metrics are valuable when they are actionable. Think about what will be done if certain results are shown by the data. If you can’t think of actions you would take, it may be that metric is not worth tracking. Metrics … Continue reading
Posted in Data, Deming, Management, Statistics
Tagged curiouscat, Data, Deming, evidence based management, management, Statistics, tips
4 Comments
Taxes per Person by Country
I think that the idea that data lies is false, and that such a notion is commonly held a sign of lazy intellect. You can present data in different ways to focus on different aspects of a system. And you … Continue reading
Soren Bisgaard
Soren Bisgaard died earlier this month of cancer. Soren was a student of my father’s who shared the commitment to making a difference in people’s lives by using applied statistics properly. I know this seem odd to many (I tried … Continue reading
Posted in Psychology, Six sigma, Statistics
Tagged commentary, John Hunter, Madison, Six sigma, SPC, Statistics, William Hunter
4 Comments
Highlights from Recent George Box Speech
The JMP blog has posted some highlights from George Box’s presentation at Discovery 2009 [the broken link was removed] Infusing his entire presentation with humor and fascinating tales of his memories, Box focused on sequential design of experiments. He attributed … Continue reading
Posted in Data, Design of Experiments, Six sigma, Statistics
Tagged Bill Hunter, Data, Design of Experiments, Fun, George Box, John Hunter, Madison, Six sigma, Statistics
6 Comments
Statistical Learning as the Ultimate Agile Development Tool by Peter Norvig
Interesting lecture on Statistical Learning as the Ultimate Agile Development Tool by Peter Norvig. The webcast is likely to be of interest to a fairly small segment of readers of this blog. But for geeks it may be interesting. He … Continue reading
Posted in Data, Software Development, Statistics
Tagged complexity, Google, IT, lecture, Software Development, Statistics, webcast
1 Comment
Communicating with the Visual Display of Data
Anscombe’s quartet: all four sets are identical when examined statistically, but vary considerably when graphed. Image via Wikipedia. ___________________ Anscombe’s quartet comprises four datasets that have identical simple statistical properties, yet are revealed to be very different when inspected graphically. … Continue reading
Posted in Data, Quality tools, Statistics
Tagged communication, Data, Statistics, visual communication, visual management
1 Comment
YouTube Uses Multivariate Experiment To Improve Sign-ups 15%
Google does a great job of using statistical and engineering principles to improve. It is amazing how slow we are to adopt new ideas but because we are it provides big advantages to companies like Google that use concepts like … Continue reading
Posted in Customer focus, Data, Design of Experiments, Google, IT, Management, Process improvement, Quality tools, quote, Science, Software Development, Statistics
Tagged curiouscat, Customer focus, Data, Design of Experiments, experiments, Google, Innovation, internet, management, Science, Software Development, Statistics
2 Comments
Statistical Engineering Links Statistical Thinking, Methods and Tools
In Closing the Gap Roger W. Hoerl and Ronald D. Snee lay out a sensible case for focusing on statistical engineering. We’re not suggesting that society no longer needs research in new statistical techniques for improvement; it does. The balance … Continue reading →