Taking advantage of ‘natural experiments,’ researchers analyze data to look at what works
The most seductive waste of all
How to compute a p-value for your process behavior chart
Myth, misunderstanding, and bad teaching have lead to the belief control charts are hard. They aren't.
Part three: the ugly
Interoperability is key to avoiding the manual steps and hand-offs that Industry 4.0 hopes to eliminate
Be deliberate about the sample size you use
A model for complex measurements
Avoid the unnecessary waste of being misled
As a tool, machine learning can accelerate insights in data for more efficient manufacturing and drive innovation
Individual values or averages?
Passing the three FDA stage goals
Part two: the bad
How’s that classification scheme working out for you?
We owe a debt of gratitude to Tippett and other pioneers who put ‘engineering’ into quality engineering.
There’s a Goldilocks balance with the number of predictors to include
What kind of review would you give the Bates Motel?
Part one: the good
All about data—and genomes
Procedure doesn’t allow nonconforming units in the sample, has superior detection capabilities