the predictable margin of error that occurs in studies of samples of cases or observations from a larger population: It indicates the possible variance between the true value of a parameter in the population and the estimate of that value made from the sample data. For example, a sampling error of 3% in a large national survey finding that 65% of citizens prefer a particular policy means that the true figure could be anywhere between 62% and 68%.