When the data is good the result ist virtually identical. When there are outliers, the median just ignores them unless there lots of them. When the data is that bad, that the median doesn't work anymore you need to up your statistics quite a few notches.
Hence the reason I made my own backend for making very high precision measurement using a percentile filter (10%, 50%, 90% and average for the fun).
It was fun to watch linux «monotonic» clock not being monotonic.
I think some of the techniques might be applicable to system performance analysis, so I submit the following introductory publication, in case any are interested [0].
[0] http://opensiuc.lib.siu.edu/cgi/viewcontent.cgi?article=1077...