Fisher’s Exact Test

By | August 13, 2012

Fisher’s Exact Test

Fisher’s Exact Test is a useful tool when dealing with smaller sample sizes.  It allows a researcher to use the hypergeometric distribution to calculate a p-value when the assumptions from the \chi^{2} test do not apply (e.g. small cell counts).  This example walks through the calculations to compute the probability density and cumulative density using Fisher’s classic Tea Drinker data.

Category: Uncategorized

Leave a Reply

Your email address will not be published. Required fields are marked *