| Date: | Mon, 3 Aug 2009 16:32:07 -0700 |
| Reply-To: | jasonm@UCLA.EDU |
| Sender: | "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU> |
| From: | J M <jasonm@UCLA.EDU> |
| Subject: | Re: Question on Comparing Two Averages |
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| In-Reply-To: | <27373642.1249338826518.JavaMail.root@mswamui-chipeau.atl.sa.earthlink.net> |
| Content-Type: | text/plain; charset=ISO-8859-1; DelSp="Yes"; format="flowed" |
Sounds good.
If my data permitted it I would want to do a dependent t-test, correct?
Thanks,
Jason
Quoting Peter Flom <peterflomconsulting@mindspring.com>:
> J M <jasonm@UCLA.EDU> wrote
>>>
>>> HOWEVER, with n = 4,500, a tiny difference will be statistically
>>> significant. Will it be of any importance?
>>
>> So, if I have 20% respond "yes" in 2008 and then 22% respond "yes" in
>> 2009 I can say that due to the large sample the difference would most
>> likely be statistically significant if we had the correct data to
>> actually test this claim?
>>
>
> You can do an independent sample t-test of proportions, ignoring the
> matching. This is easy enough
> to do by hand, with the formula for a t-test.
>
> Or you can do a chi-square test:
>
> data today;
> input year $ yesno $ count;
> datalines;
> 2009 yes 990
> 2009 no 3510
> 2008 yes 900
> 2008 no 3600
> ;
> run;
>
> proc freq data = today;
> table year*yesno/chisq;
> weight count;
> run;
>
>
> Peter
>
> Peter L. Flom, PhD
> Statistical Consultant
> www DOT peterflomconsulting DOT com
> http://www.associatedcontent.com/user/582880/peter_flom.html
>
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