Differentiate between population and sample in Statistics?

A population in statistics is the complete set of all possible observations, individuals, or items that share a common characteristic and are relevant to a particular study. It is the entire group about which conclusions are to be drawn.

A sample is a subset of the population that is selected for observation and analysis. It is a smaller, representative group chosen from the population, and data collected from the sample is used to make inferences or generalizations about the entire population.