Survey sampling is a statistical method used to select a subset of individuals from a larger population to gather information about that population. This approach allows researchers to make inferences about the entire group without needing to survey every individual, which can be time-consuming and costly. By carefully choosing a representative sample, researchers can obtain reliable data that reflects the characteristics and opinions of the broader population. There are various techniques for survey sampling, including random sampling, stratified sampling, and cluster sampling. Each method has its advantages and is chosen based on the research goals and the nature of the population being studied. Proper survey sampling ensures that the results are valid and can be generalized to the entire population.