Angle measurement Assume I want to compute one of the angles of a right triangle doing $n$ measurements of the sides with a ruler. In order to increase the precision I make several measurements. After that I compute $\tan \theta$ for each of the measurements:
$$\tan^{(i)}\theta = \frac{\text{opposite side}^{(i)}}{\text{adjacent side}^{(i)}}$$
where $(i)$ denotes the number of the measurement. 
Which formulae out of two for computing the average would be more precise?
$$\theta_1=\tan^{-1}\left(\frac 1n\sum_i\tan^{(i)}\theta\right)$$
$$\theta_2 = \frac 1n \sum_i \tan^{-1}\left(\tan^{(i)}\theta\right)$$
Assume I have a computer which will be doing the $\tan^{-1}$ calculation. I am really interested in the proof as well.
 A: There is a third option you did not list, which I think would be the most natural.  You can average the measurements of the opposite side to get your best estimate of the opposite side and similarly for the adjacent side, then use those values to compute $\theta$.  I will use subscripts to identify observations-they are more standard and easier to type.  We would have $$o=\frac 1n \sum_i o_i\\a=\frac 1n \sum_i a_i\\ \theta_3 =\arctan \left(\frac oa\right)$$ Note that your second is really $\theta_2=\frac 1n \sum_i \theta_i$ and let your first be $\theta_1$
To see which is more accurate, we can chase the impact of a single error through the computation.  As the errors are small, we expect that they add linearly.  For each calculation, we want to assess $\frac {d\theta}{do_i}$ and $\frac {d\theta}{da_i}$ So we have $$\frac {d\theta_3}{do_i}=\frac 1{1+(\frac oa)^2}\frac 1n \\\frac {d\theta_3}{da_i}=\frac 1{1+(\frac oa)^2}\frac {-1}{a^2}\frac 1n\\\frac {d\theta_2}{do_i}=\frac 1n \frac 1{1+(\frac {o_i}{a_i})^2} \\\frac {d\theta_2}{da_i}=\frac 1{1+(\frac {o_i}{a_i})^2}\frac {-1}{a_i^2}\frac 1n$$  Which give just about the same result as long as your errors are small and symmetric.  I believe you will get the same result with $\theta_1$, but haven't checked.
