stratified simple random sampling

Stratified simple random sampling is a statistical method used in surveys to ensure a representative sample from a population. This technique involves dividing the population into distinct, homogeneous subgroups called strata. A simple random sample is then drawn from each of these strata. By sampling from each subgroup, researchers can make more precise inferences about the entire population and also gain insights into the specific subpopulations represented by each stratum. This method is a variation of simple random sampling, where every possible sample of a given size has an equal chance of being selected. This approach helps to avoid selection bias and allows for the calculation of sampling error.12