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Rick_SAS
SAS Super FREQ

1. Yes, this is a good way to visualize the data. It assumes that the primary focus is on the proportion in each group, which seems to be the case here. I like that you have used a horizontal chart.

2. How big are your groups? The bigger they are, the more confidence you can have that the point estimates are representative of the subpopulations A, B, and C. If the groups are somewhat large (30 or more?) I think it is safe to make statements such as "Professional-Younger" Groups A, B and C have a higher % of females [at the institution(s) in the study]  as compared to overall population.

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Rick_SAS
SAS Super FREQ

1. Yes, this is a good way to visualize the data. It assumes that the primary focus is on the proportion in each group, which seems to be the case here. I like that you have used a horizontal chart.

2. How big are your groups? The bigger they are, the more confidence you can have that the point estimates are representative of the subpopulations A, B, and C. If the groups are somewhat large (30 or more?) I think it is safe to make statements such as "Professional-Younger" Groups A, B and C have a higher % of females [at the institution(s) in the study]  as compared to overall population.

saoirse872
Fluorite | Level 6

Thanks so much! That makes sense about having a large enough group size for the comparison, as smaller numbers would produce unstable percentages. They are all >100. Really appreciate your valuable thoughts!!

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