Sampling Error: What it Means

Surveys based on a random sample of respondents are subject to sampling error – a calculation of how closely the results reflect the attitudes or characteristics of the full population that's been sampled. Since sampling error can be quantified, it's frequently reported along with survey results to underscore that those results are an estimate only. Sampling error, however, is oversimplified when presented as a single number in reports that may include subgroups, poll-to-poll changes, lopsided...Full Story
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