Simple Random Sampling: This is when each individual or item in the population has an equal chance of being selected for the sample.
Stratified Sampling: In stratified sampling, the population is divided into distinct groups called strata, and then samples are randomly selected from each stratum.
Cluster Sampling: Cluster sampling involves dividing the population into clusters or groups, and then randomly selecting entire clusters to be included in the sample.