Yet the result you've arrived at is nearly identical to the old one (a difference of 0.2-0.3 percent for each component), which goes to show that a large sample size is not always necessary.
Printable View
I finally managed to create brand new Hungarian averages for K12b. Each regional average is based on 10 samples, specifically selected those which were the closest to their respective regional K13 averages, while the national average is based on 40 samples, and is a weighed aggregate of the 4 regional ones. Therefore please delete these:
HUN_Szekely,5.69,2.23,0.86,0.54,27.11,38.92,0.47,0 .07,3.83,1.74,18.51,0.02
Hungarians,4.10,0.70,0.00,0.00,27.00,48.40,0.30,0. 00,3.00,0.30,16.20,0.00
And add these:
Code:Hungarian,5.69,1.19,0.59,0.21,28.09,44.65,0.65,0.04,3.31,0.24,15.16,0.02
Hungarian_Alföld,5.24,1.39,0.63,0.22,28.05,45.73,0.66,0.04,3.19,0.17,14.68,0
Hungarian_North,5.16,1.31,0.6,0.26,27.34,46.81,0.55,0.01,2.91,0.13,14.93,0
Hungarian_Transdanubia+Budapest,6.02,0.85,0.55,0.19,28.36,44.2,0.67,0.06,3.37,0.23,15.2,0.02
Hungarian_Transylvania+Székely,6.06,2.42,0.62,0.18,27.89,40.32,0.6,0,4.06,0.73,16.94,0.09