The distributions we have used so far are called empirical distributions because they are based on empirical observations, which are necessarily finite samples.

The alternative is a continuous distribution, which is characterized by a CDF that is a continuous function (as opposed to a step function). Many real-world phenomena can be approximated by continuous distributions.