Think of the principles in building a table
The first of six uses
All of this has happened before, and all of this will happen again
Don’t just teach statistics; teach how to solve problems
First, establish a baseline data set at system implementation
The rest of the story…
There’s more than one way to monitor key variables
The effect of assuming exponential distribution for ‘ease of analysis’
Using data distributions to set a list price
Investigating trends vs. highlighting improvements
A pragmatic and accurate approach to adjusting and optimizing processes
Forget about statistics. Imagine you love wearing hats...
Changing one factor at a time is less effective
The queasy shifting of probable, common, and special cause
Explaining anything as special cause
No single p-value can divine the truth about reality
Attribute data are better than no data, but that’s about the best you can say of them
No data have meaning apart from their context
Complex models that accurately forecast the future are a poor way to plan for uncertainty
... April fool!