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Content by Donald J. Wheeler
What Is the Probability That Your Process Is Predictable?How to compute a <em>p</em>-value for your process behavior chart
Wed, 01/09/2019 - 12:03
Story update 1/15/2019: Thanks to the sharp eye of Dr. Stan Alekman, who spotted an inconsistent value in figure 2, I discovered an error in the program used to construct the table of critical values for the prediction ratio. I have now corrected…
Which Chart to Use?Individual values or averages?
Mon, 12/03/2018 - 12:03
Process behavior charts are the interface between your data and your brain. But you have to begin by making a choice about which type of chart to use. You can either plot the individual values themselves, or you can organize your data into rational…
Data Snooping Part 4How’s that classification scheme working out for you?
Thu, 11/08/2018 - 12:03
In Part One and Part Two of this series we discovered some caveats of data snooping. In Part Three we discovered how listening to the voice of the process differs from the model-based approach and how it also provides a way to understand when our…
Data Snooping, Part 3 What happens when we cannot write models for the data?
Mon, 10/01/2018 - 12:03
Parts One and Two of this series illustrated four problems with using a model-building approach when data snooping. This column will present an alternative approach for data snooping that is of proven utility. This approach is completely empirical…
Data Snooping, Part 2What pitfalls lurk outside your database?
Mon, 09/10/2018 - 12:03
In “Data Snooping Part 1” (Quality Digest, Aug. 6, 2018) we discovered the basis for the first caveat of data snooping. Here we discover three additional caveats of data snooping. Last month we discovered: Here we will use the data set from Part…
Data Snooping, Part 1What pitfalls lurk within your database?
Mon, 08/06/2018 - 12:03
Data mining is the foundation for the current fad of “big data.” Today’s software makes it possible to look for all kinds of relationships among the variables contained in a database. But owning a pick and shovel will not do you much good if you do…
Enumerative and Analytic StudiesDescription vs. prediction
Mon, 07/16/2018 - 12:03
The ultimate purpose for collecting data is to take action. In some cases the action taken will depend upon a description of what is at hand. In others the action taken will depend upon a prediction of what will be. The use of data in support of…
Invisible Probability ModelsThe gap between computations and reality
Mon, 06/04/2018 - 12:03
Some properties of a probability model are hard to describe in practical terms. The explanation for this rests upon the fact that most probability models will have both visible and invisible portions. Understanding how to work with these two…
The ‘Think System’ for ImprovementFirst you guess what the problem might be…
Mon, 05/07/2018 - 12:03
In The Music Man, the con man Prof. Harold Hill sells band instruments and uniforms and then tells the kids that they can play music if they will “just think about the notes and then play them.” In many ways this “think system” is similar to what…
Is There an Empirical Rule for Probability Models?What do distributions have in common?
Mon, 04/02/2018 - 12:03
Last month we looked at what the empirical rule tells us about the data in a histogram. This month we will consider if there are any commonalities between different probability models that will allow us to make categorical statements without having…

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