Almost by definition, if it is skewed enough to be notable, it is too skewed to force into a symmetric z table (which is a Normal dist.)

Not to be facetious, but how close is 'close enough'?

If you are lucky enough to find some sort of transformation that brings it back to a Normal, then....

but you didn't say that.

Jay

Melady Preece wrote:

A student wants to know how one can calculate the area under the curve for skewed distributions.  Can someone give me an answer about when a distribution is too skewed to use the z table? Melady

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Jay Warner
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