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Sample of 102 broken into two groups based on a factor of interest

Group 1, n=77

Group 2, n=25

Trying to figure out how to test if the demographic (age, race/ethnicity, gender, education level, have kids, etc) break down is significantly different between groups.

I've calculated proportions and it seems like most of it will be fine, but there are a few that look like they could be significantly different.

I'm hoping to be able to run this in SPSS.

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Is there some reason (e.g. very small/large proportions) you can't use the usual 2-sample $z$-test (statisticslectures.com/topics/ztestproportions)? – Macro Apr 18 '12 at 3:15
@Macro - turn that into an answer! Lindsay, it is possible such a question has been addressed before on this site, I would suggest you look over the questions tagged t-test or just consult any introductory stats book. – Andy W Apr 18 '12 at 12:27
With some quick googling I just found this UCLA webpage on t-tests in SPSS, the example that applies to your use case is what they call the "independent group t-test". Funny they use Stata graphs for the SPSS page though! The only potential issue I may see here is whether testing proportions is appropriate (I don't think it is given the context, but perhaps someone else with better knowledge on the subject can elaborate). – Andy W Apr 18 '12 at 12:31

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