@gtucke1 wrote:
I'm comparing the means to determine whether male/female, non-spousal/spousal, etc. has the higher mean % of unmet needs.
Normally, hypothesis tests compare if the mean of male and the mean of the female are equal, and standard hypothesis tests do not test which has the higher mean. A minor detail perhaps, but on the other hand maybe the standard hypothesis tests are not what you want.
In addition, you don't say what your sample size is, how many males and how many females. If the number is small (say <15 each), you might want to use PROC NPAR1WAY instead of PROC TTEST. If the distribution is terribly non-normal (percents being constrained between 0 and 100 inclusive), you might need even more samples in each category.
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