STRATIFIED RANDOM SAMPLING
Consists of dividing the target population into a distinct set of subpopulations, followed by
taking a simple random sample from each subpopulation
The subpopulations are referred to as strata
Advantages over simple random sampling:
1. Useful to have data on subsets of the population
2. May produce an increase in precision
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