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A simple random sample is used to represent the entire data population. A stratified random sample divides the population into smaller groups based on shared characteristics.
Learn how simple random sampling works and what advantages it offers over other methods when selecting a research group from a larger population.
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Simple Random Sampling: Definition, Advantages, and Disadvantages
Researchers choose simple random sampling to make generalizations about a population. Major advantages include its simplicity and lack of bias.
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