Stratified random sampling allows researchers to sample more individuals from smaller demographic groups.

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Stratified random sampling involves dividing the population into smaller subgroups or strata based on specific demographic characteristics (such as age, gender, income, education level, etc.) and then randomly selecting individuals from each stratum. This technique allows researchers to ensure that they sample enough individuals from smaller demographic groups, which can help to increase the representativeness and accuracy of their results.

Stratified Random Sampling Allows Researchers to Sample More Individuals from Smaller