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Posts Tagged ‘continuous data’

Analyzing Experiments with Ordered Categorical Data

Six Sigma projects often deal with experiments whose outcomes are ordered categorical data, rather than continuous. It is important to know the right analysis methods for these cases, such as Jeng and Guo’s weighted probability-scoring scheme (WPSS).

Avoid Two Common Mistakes in Measurement System Analysis

Learn two of the common mistakes made during measurement system analysis and how to avoid them.

Making Sense of the Binary Logistic Regression Tool

Sometimes Six Sigma practitioners find a Y that is discrete and Xs that are continuous. How then can a regression equation be developed? The correct technique is something called logistic regression, but this tool is often not well understood.

Resource Page: A Primer on Non-normal Data

The distribution of data can be categorized in two ways: normal and non-normal. Non-normal data does not tend toward a central value. It can be skewed left or right, or follow no particular pattern.

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