Question 5 • VA-Probability and Statistics
Stratified random sampling divides a population into meaningful subgroups, or strata, and samples from each one. When the strata are internally similar and formed appropriately, this can reduce variability and give more precise estimates than a simple random sample of the same size, so A and B are true. It requires information about the population to define the strata, making D a real disadvantage. Creating strata does not generally make sample selection easier for a very large population, so C is not true.
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