Stratified sampling is a way to select a simple random sample from a directory or list that is much more efficient (uses less effort)than with simple random sampling,because with a physical list,the researcher must first enumerate (assign a unique identifier)each listing in order to select them using a random number.

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Stratified sampling involves dividing the population into subgroups (strata) that share similar characteristics and then drawing a sample from each subgroup. This method ensures representation from each subgroup but does not necessarily reduce the effort compared to simple random sampling, as it requires additional steps of identifying and dividing the population into strata before sampling.

Stratified Sampling Is a Way to Select a Simple Random