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One Statistical Paradigm to Rule Them All?
No matter how you interpret probability, its mathematical, axiomatic foundations are without question
When Are Instruments Equivalent? Part 2
Do the instruments have the same amount of measurement error?
Statistics Ruined Baseball by Perfecting It
Tanking a team to the top and other moneyball strategies
When Are Instruments Equivalent? Part 1
Practical answers to an age-old question
Quarterly Review Coming Up on That Aggressive 2019 Goal
Will it be thumbs up or thumbs down?
What Does MTBF Mean?
Four points of consideration
The Keys to Quality Assurance
It takes more than a good capability ratio
Enough!
Stop being perceived as the ‘13th clown’
Process Capability: What It Is and How to Ensure It Helps, Part 5
Why is it important to keep the process stable?
Problems With Bubble Plots
Your computer may be lying to you
Fighting Crime With Statistics
Taking advantage of ‘natural experiments,’ researchers analyze data to look at what works
Watch Out for the Big Data Steamroller
The most seductive waste of all
What Is the Probability That Your Process Is Predictable?
How to compute a p-value for your process behavior chart
Control Charts: Keep It Simple
Myth, misunderstanding, and bad teaching have lead to the belief control charts are hard. They aren't.
Metrics: The Good, the Bad, and the Ugly
Part three: the ugly
Model-Based Definition: A Seven-Point Summary
Interoperability is key to avoiding the manual steps and hand-offs that Industry 4.0 hopes to eliminate
Reverse-Engineer Your Experiments
Be deliberate about the sample size you use
Why Simulation Is the Future of Uncertainty Evaluation
A model for complex measurements
Why Did Shewhart Place a Premium on Time Order Sequence?
Avoid the unnecessary waste of being misled
Beyond the Hype: Machine Learning for Manufacturing Performance
As a tool, machine learning can accelerate insights in data for more efficient manufacturing and drive innovation

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