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Simple random and stratified random samples are statistical measurement tools. A simple random sample takes a small, basic portion of the entire population to represent the entire data set.
A sampling error is a statistical error that occurs when a sample does not represent the entire population. See how to avoid sampling errors in data analysis.
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