[R] Interpretation of EXACT Statistical Test in finding the
DaveFrisch
davefrisch at yahoo.com
Fri Jul 11 00:25:30 CEST 2008
Ted Harding; you are my HERO!
THANK YOU!
Ted.Harding-2 wrote:
>
> 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
> ------------------------------ XFMail ------------------------------
>
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