prop.test in R

Laura,

I would make the argument that continuity correction should not be used in practice, or in the classroom. Continuity corrected intervals are, on average, to wide. This might be defensible if they guaranteed their coverage level (as 'exact' distribution based intervals do), but due to the fact that they are asymptotic, they may have coverage less than the nominal level.

The Agresti reference Ralph sent is an excellent article. I highly recommend it. I find it helpful to categorize discrete tests on two axes. conservative vs. approximate, and asymptotic vs distribution based. Conservative tests attempt to keep type 1 error less than the nominal level, and approximate tests attempt to keep the error near its nominal level.

				Asymptotic				Distribution based
Conservative	Continuity Corrected		Standard 'Exact' test

Approximate		Standard Asymptotic		Mid p-value



I would also be interested to hear why the default it correct=TRUE. Perhaps it is historical.

Ian

Hi,

I have a question about prop.test in R:

I teach students the score confidence
interval for proportions (also called
Wilson or Wilson score interval).

prop.test(,..., correct=FALSE) gives this
interval.

The default uses a continuity correction.
When should we use one over the other?
Is it worth going over this in class? Why
is correct=TRUE the default?

Thanks for any pedagogical guidance here!

-- Laura

*******************************************
Laura Chihara
Professor of Mathematics   507-222-4065 (office)
Dept of Mathematics        507-222-4312 (fax)
Carleton College
1 North College Street
Northfield MN 55057

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