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Answer:
Stratified random sampling is a method of sampling that involves the division of a population into smaller sub-groups known as strata. In stratified random sampling, or stratification, the strata are formed based on members' shared attributes or characteristics such as income or educational attainment.
Stratified random sampling is also called proportional random sampling or quota random sampling.
KEY TAKEAWAYS
Stratified random sampling allows researchers to obtain a sample population that best represents the entire population being studied.
Stratified random sampling involves dividing the entire population into hom*ogeneous groups called strata.
Stratified random sampling differs from simple random sampling, which involves the random selection of data from an entire population, so each possible sample is equally likely to occur.
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