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Polls based on samples of populations are subject to sampling error which reflects the effects of chance and uncertainty in the sampling process.
The uncertainty is often expressed as a margin of error.
The margin of error is usually defined as the radius of a confidence interval for a particular statistic from a survey.
One example is the percent of people who prefer product A versus product B.
When a single, global margin of error is reported for a survey, it refers to the maximum margin of error for all reported percentages using the full sample from the survey.
If the statistic is a percentage, this maximum margin of error can be calculated as the radius of the confidence interval for a reported percentage of 50 %.
Others suggest that a poll with a random sample of 1, 000 people has margin of sampling error of 3 % for the estimated percentage of the whole population.

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