# Re: [R] Interpretation of EXACT Statistical Test in finding the

From: Ted Harding <Ted.Harding_at_manchester.ac.uk>
Date: Thu, 10 Jul 2008 22:52:33 +0100 (BST)

On 10-Jul-08 20:43:12, DaveFrisch wrote:
>
> Okay, so I'm fairly retarded, and asked a question about finding
> the T-Value in the Fisher Exact method. I suppose what I'm truly
> after can best be explained by the Biddle Consulting site that has
> a program setup to deal with this kind of thing. Unfortunately,
> it is not currently functioning, and has not been for some time.
> As a result, I'm trying to figure out how to do this on my own.

It is working now.

> What I'm after is the "Probability as Std. Deviations (SumP)"
> which can be seen here;
> http://www.biddle.com/adverseimpacttoolkit/SelectionRateComparison.aspx
>
> I appreciate the time everyone took in getting me straightened out on
> my previous question. Hopefully I've provided a somewhat more
> meaningful scenario here.

>From the explanation in Note [4] of that web-page, it seems that
what you are after corresponds to:

fisher.test(matrix(c(11,5,7,12),ncol=2))

#      Fisher's Exact Test for Count Data
# data:  matrix(c(11, 5, 7, 12), ncol = 2)
# p-value = 0.09222
# alternative hypothesis: true odds ratio is not equal to 1
# 95 percent confidence interval:
# 0.7619524 19.6952184
# sample estimates:
# odds ratio
# 3.621276

fisher.test(matrix(c(11,5,7,12),ncol=2))\$p   # [1] 0.09221518

qnorm(1-fisher.test(matrix(c(11,5,7,12),ncol=2))\$p/2)   # [1] 1.683827

Hoping this helps!
Ted.

E-Mail: (Ted Harding) <Ted.Harding_at_manchester.ac.uk> Fax-to-email: +44 (0)870 094 0861
Date: 10-Jul-08                                       Time: 22:52:31
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