Sampling Error
The sampling error of an estimate based on a sample survey is the difference between the estimate and the result that would be obtained from a complete census conducted under the same survey conditions. This error occurs because characteristics differ among sampling units in the population and only a subset of the population is measured in a sample survey. The particular sample used in this survey is one of a large number of samples of the same size that could have been selected using the same design. Because each unit in the sampling frame had a known probability of being selected into the sample, it was possible to estimate the sampling variability of the survey estimates. The Census Bureau recommends that individuals using Quarterly Services Survey estimates incorporate this information into their analyses, as sampling error could affect the conclusions drawn from the estimates.
Source: U.S. Census Bureau | Last Revised: September 8, 2004
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