I chatted about u-charts for rates last time, and this column was going to be about p-charts for percentage data. These are the two major charts for dealing with count data and are helpful for stratifying a stable section of process performance.
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But something recently happened that saddens me and has become all too common in many organizations for which I have consulted. It reminded me of the need to warn you about a very common approach to (allegedly) stratify data—to find the “bad” performers. I have a wonderful data set using percentages on which, next time, I will demonstrate the proper analysis and interpretation via p-charts; but I am going to use it today to make a major point about something to be avoided at all costs.
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QD wouldn't print what I'm thinking about those "executives". Aside from all the statistical machinations, is there anywhere in this scenario where someone says "Let's ask the Doctors why they make the decisions they do?" or "Is there a relationship between the cost of the medicine and its efficacy?"
It reminds me of my friend's anecdote of the President who asked why the Process Average wasn't 100%. Please tell me your correspondent can find neurons firing somewhere in his place of work.
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