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Using MIL-STD-105 As a Process Control Procedure
In the politically correct world of PPM defective, MIL-STD-105 is a misunderstood and misapplied specification
The Paradox of Acceptance Sampling
We keep trying to find the needle in a haystack
Inside Quality Digest Live for Sept. 28, 2018
It's all about manufacturing.
Data Snooping, Part 3
What happens when we cannot write models for the data?
‘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
Book Review: Data Sanity
If you’re involved in quality in any healthcare field, the second edition of Data Sanity is a must-read
Data Snooping, Part 2
What pitfalls lurk outside your database?
Data Snooping, Part 1
What pitfalls lurk within your database?
Why Variation Matters to Everybody
We should make variation accessible to a wider spectrum of professionals
Enumerative and Analytic Studies
Description vs. prediction
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
Reliability Sample Size Calculation Based on Bayesian Inference
When is enough, enough? That depends.
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
Invisible Probability Models
The gap between computations and reality

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