“It depends” is always right but which function is better for arbitrary, unknown data?
At least the arithmetic mean is fine for Gaussian distributions, and coneys a sense about the data even on non-Gaussian ones. but the median doesn’t even work at all on some common distributions like scores of very difficult exams (where median=0)
For the mean, at least every data point contributes to the final value.
