The document discusses sampling methods used in surveys. It defines key terms like population, sample, biased sample, random sample, systematic sample, and stratified sample. It provides examples of identifying biased samples and sampling methods. The examples could be biased based on who is included in the sample versus the entire population. Random sampling aims to avoid bias by giving everyone an equal chance of being selected. Other non-random methods are also discussed.