Datasets that do not transform or fit any distribution
Frequently, we obtain data that does not want to easily fit any distribution or any transformation. The key to using this data is often to understand the reasons for the data not fitting a distribution.
We can find many reasons for not fitting a distribution and the strategies for running a capability analysis can be varied, depending on the cause. For more on some of the issues that we should be careful of when declaring that our data is not normally distributed, see the Capability analysis for nonnormal distributions recipe.
The very first step in any analysis of data that is not normally distributed should be to understand why the data appears as it does.
This recipe explores several issues ...
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