Rolling up multiple leaves on a dimension into a single measure

I'm sure this is a common problem but I cannot find any talk of it with my Google searching.
The problem I am having is when I need to a get a single measure, using an 'Average' aggregate, for multiple leaves in a dimension.
For example, say I have a geography dimension and I need a single score for the three countries GB, HK and US combined, I might do this (though it won't be good enough):
select avg(s.score) as score
from my_cube_view s
where s.geography in ('GB','HK','US')
It's not good enough because the avg() needs weighting, GB, HK and US not containing an equal number of facts each (their individual scores will already be averaged by the cube).
Is there a way for the cube to do this calculation for me? Or should I, when wanting to rollup scores this way, revert to manually averaging up the fact scores?
Hope that makes sense,
Dominic
Edited by: Dominic Watson on Sep 8, 2011 5:02 AM

You should be able to generate weighted averages. Check the Aggregation Operators section of the OLAP User's Guide to see the different hierarchical aggregation options for averages.

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multiple hierarchies
Hi Experts,
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