Alias Factors or interactions are aliased or confounded when an independent estimate cannot be made for a parameter that is the alias of another parameter. See also “Factorial Designs” in Part 3.

Attributes Data Attributes data are also known as count data. Typically, we will count the number of times we observe some condition (usually something we don’t like, such as an error) in a given sample from the process. This is different from measurement data in its resolution. Attributes data have less resolution because we only count if something occurs rather than taking a measurement to see how close we are to the condition. For example, attributes data for a health care process might include the number of patients with a fever, whereas ...

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