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‘Why Deming? Why Now?’... Why the Need for a Different ‘Method’
Out of the echo chamber
Measures of Success
React less, lead better, improve more
Why Variation Matters to Everybody
We should make variation accessible to a wider spectrum of professionals
Time to Ditch the Paper and the Spreadsheets
You can’t concentrate on what your data is saying if you’re too busy wrestling with it
Road Trip USA: A Glimpse Inside the Car
Survey reveals what people do, eat, and argue about
Making Sense of Data: How to Go About It?
To make sense of any data set, start an analysis with a process behavior chart
Forecasts Before the Storm
Measuring and predicting hurricanes
Predictable
Why has it taken so long to understand that processes need analytic methods, not enumerative ones?
It’s More Than the Mean That Matters
Using intervals to get at the tail ends of the problem
The Importance of Understanding Conditional Probability
It helps to build a table
Statistical Analysis: The Underpinning of All Things Quality
A conversation with Neil Polhemus
Three Powerful Insights From a VP of Quality
Lessons Shared From Overseeing 10,000+ Continuous Improvement Projects in 10 Years
Seeing All the Scenarios With Monte Carlo Simulation
How can you fix the process and improve product development with simulated data?
The Math Behind the Perfect Free Throw
Useful insights for the game of inches
Putting Statistics Into Forensic Firearms Identification
How good a match is it?
Process Capability Analysis
Understanding how to estimate requirements and specification limits
Drive Efficiency in Your Process
Five critical lean tools
Sustaining Predictable and Economic Operation: What Does It Take?
Entropy will make each and every process unpredictable
A Bell-Shaped Distribution Does Not Imply Only Common Cause Variation
Random does not imply normal
Warning: Do Not Just Average Predictions
The partial information framework can be used to analyze real-world forecasting data

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