Stratified random sampling is used instead of simple random sampling when a researcher wants to ensure that the sample has specified characteristics.

Question

Quizplus · Accepted Answer

Stratified random sampling involves dividing the population into subgroups, or strata, based on certain characteristics, and then randomly selecting participants from each stratum. This is done to ensure that the sample represents the diversity of the population on those specific characteristics, rather than relying on chance in a simple random sample.

Stratified Random Sampling Is Used Instead of Simple Random Sampling