Stratified samples can better assure a representative sample than simple random samples.

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Stratified sampling involves dividing the population into subgroups and then selecting a random sample from each group, ensuring that each subgroup is represented in the sample. This approach can increase the representativeness of the sample by ensuring that the subgroups are proportionally represented. In contrast, simple random sampling relies solely on chance and may not guarantee a representative sample.

Stratified Samples Can Better Assure a Representative Sample Than Simple