part 1 of 2
The differences are of course statistically significant, they are not 
necessarily real. There are of course the big sources of uncertainty in 
the numbers even if none of the uncertainty is attributable to sampling. 
Some would say that even though differences are not attributable to 
sampling they are still subject to uncertainty (not completely real). 
Different statistical subcultures have different attitudes toward 
uncertainty.  Some would say "uncertainty is made up of sampling and oh 
yes nonsampling error".  Others would say that "uncertainty is made up 
of the big sources of uncertainty such as intrinsic variation in the 
phenomenon, errors is applying the measurement, lack of correspondence 
between the measurement and the construct, unreliability of the 
measurement method, memory error, coding error, and oh yes uncertainty 
due to sampling".

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