Stats
Type III error (January 3, 2008).
Dear Professor Mean, What is the definition of a Type III error?
A Type III error is the belief that there are three types of errors in the
world. There are only two of course, so if you believe otherwise, you are
making...no wait, there really are three types of errors after all, so a Type
III error is not really an error...no wait, now there are only two types of
errors after all. I'm confused.
There is no official definition of a Type III error. It generally is used
in a humorous context to point out that statisticians are capable of making
other types of mistakes rather than just a Type I error and a Type II error. A
common definition is getting the right answer to the wrong hypothesis. A nice
summary of the various definitions applied for Type III errors (and even Type
IV errors) appears in Type
I and type II errors (see section 6).
This webpage was written
on 2008-01-03
and was last modified on
2008-07-08. Category: Ask Professor Mean,
Category: Hypothesis testing