This document discusses population and sampling concepts in statistics. It defines a population as the total collection of objects under study, while a sample is a subset of a population that is used to make inferences about the whole. Some key points made: - Populations can be finite or infinite in size and existent or hypothetical. - Samples are used when populations are too large to study entirely. Common sampling methods include simple random sampling, cluster sampling, and systematic sampling. - Non-probability sampling includes convenience sampling, snowball sampling, and quota sampling.