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V = 0.1145±0.0136 for Run 1

V= 0.1146± 0.0134 for Run 2

I got my errors through some tedious propagation which I won't go into, but what I'm wondering is what's the best way to calculate the error for my final V? (which will be the average V for the two runs) I have looked around and can't seem to find anything which gives a straight answer.

Would it be ridiculous to use the fact that V

_{average}=(V

_{1}+V

_{2})/2 and then propagate the error in (V

_{1}+V

_{2}) using the addition/subtraction propagation formula, then equate this quantity's fractional error to the fractional error in V

_{average}? This seems a little over complicated.

Normally I would take the error in an average using Standard Deviation but that doesn't seem appropriate for just two values.