In statistics, a population refers to the entire group that is the subject of a study, while a sample is a subset of the population used to make inferences about the whole. Understanding the distinction is crucial because conclusions drawn from a sample are used to estimate characteristics of the population, often with the aid of probability and statistical inference techniques.