Estimating underlying distributions is not trivial. For starters, it’s often easier to make some simplifying assumptions about the shape of the distribution. Is it a Bernoulli distribution? Is it a normal distribution? Keep in mind that these idealized descriptions of distributions are just that: idealized; they make the math easier, but there’s no guarantee that the underlying distribution hews exactly to these mathematical forms.
