The difference is the amount of data inclusion. In population standard deviation, the experiment includes the complete (finite number) number of data for analysis. The best example is employees data of an organization, students data of school or college etc. In sample standard deviation, the experiment includes the sample set of data for analysis. For example, it applies to situation where collecting the complete set of data is not possible.