Don’t We Need Good Measurements?
Statistical Thinking for Everyone
A lot of statistics, too little understanding
Image: U.S. Department of Agriculture
Resolve to Simplify and Evolve
In spite of the overwhelming odds against me, every new year I firmly resolve to reignite my relentless passion about creating a critical mass of colleagues committed to practicing improvement as “built-in” to cultural DNA using data sanity.
Creating Charts to Compare Month-to-Month Change
This I-MR chart displays the data in two distinct phases by year
Credit: Minitab
Evaluating Destructive Measurements
What can be done when a test is destructive? How do we characterize measurement error? How can we determine if a test method is adequate for a given product or application? How can we check for bias?
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