According to Wikipedia,
In statistics, a population is a set of similar items or events which is of interest for some question or experiment.
According to Wikipedia,
In probability theory, the sample space of an experiment or random trial is the set of all possible outcomes or results of that experiment.
Question: What is the difference between population and sample space? As far as I understand, they both imply the same thing, i.e., encompasse all possible outcomes/results/item.
