Answer by Peter Flom:
Because the mean and median have different properties and sometimes we want the ones associated with the mean.
For example, in large samples from a normal distribution, the median has a larger standard error. For another, the mean is the expected value. For a third, the mean is influenced by outliers and, while that is often a justification for using median, sometimes we want a measure that is influenced by outliers.