Sampling Methods

A sampling method is a technique used to select individuals or units from a larger population to participate in a study or survey.

Cluster sampling is a sampling technique where the population is divided into groups (clusters), and entire clusters are randomly selected to be included in the sample.

Stratified sampling is a method where the population is divided into subgroups (strata) based on shared characteristics, and a random sample is taken from each stratum.

Convenience sampling is a non-probability sampling method where samples are selected based on their easy availability and proximity to the researcher.

The population is the entire group of individuals or instances about whom we hope to learn.

A sample is a subset of the population selected for participation in a study.

A population includes all members of a specified group, while a sample is a smaller group selected from that population.

Systematic sampling is a method where you select every nth individual from a list of the population.

Volunteer sampling is a non-probability sampling method where individuals self-select to participate in a study.

The purpose of sampling is to gather data from a representative subset of a population to make inferences about the whole population.