The "error margin" refers to the range within which the true value of a measurement or estimate is expected to fall. It is commonly used in statistics and surveys to indicate the level of uncertainty associated with the results. A smaller error margin suggests more precise data, while a larger margin indicates greater uncertainty. For example, if a survey reports that 60% of respondents support a policy with an error margin of ±5%, the true level of support could be anywhere between 55% and 65%. Understanding the error margin helps in interpreting data accurately and making informed decisions based on that information.