@lboyd wrote:
My question is, is it okay to treat this data as continuous data? Do I need to treat it as count/discrete instead? If so, what analysis would you suggest in SAS?
That's more of a subject specific question in my opinion.
It depends on how you coded things and such. It's more counts really than a continuous distribution.
My other question is, do I need to check the normality of both pre_tot and post_tot? And if one is not normal, do I need to use a Wilcoxon signed-rank test instead?
You should check the normality, but I think the assumption still holds if the distributions are the same.
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