Population and Sample

For most measures of central tendency. whether the data comes from a sample or a population rarely affects the statistical process, that is, population mean and sample mean are calculated in the same way. However, when it comes to measures of spread, there are different formulas, that is, population variance and sample variance are calculated in different ways.

The issue describes a documentation clarification about population vs. sample variance. Look for variance calculation functions in the codebase, likely in a module like variance.py or central_tendency.py. Identify where the formulas are defined and add a comment or docstring explaining the difference. Check if there are existing tests for variance to ensure the explanation aligns with the implementation.

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