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Are You Sure Your Data Is Normal?

Most processes are not normally distributed. Most Six Sigma tools, however, assume normality. Choose the right tool for your next process analysis.

Dealing with Non-normal Data: Strategies and Tools

Some people believe – incorrectly – that all data collected and used for analysis must be normally distributed. But there are tools that do not need normality, as well as a number of ways to acheive normality if tools requiring it are necessary.

Making Data Normal Using Box-Cox Power Transformation

By understanding data transformations, including the Box-Cox method, practitioners will be better prepared to work with non-normal data.

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.

Tips for Recognizing and Transforming Non-normal Data

Practitioners can benefit from an overview of normal and non-normal distributions, as well as familiarizing themselves with some simple tools to detect non-normality and techniques to accurately determine whether a process is in control and capable.

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