Sampling scenario in Gy's sampling theory From Wikipedia, the free encyclopedia
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During sampling of granular materials (whether airborne, suspended in liquid, aerosol, or aggregated), correct sampling is defined in Gy's sampling theory as a sampling scenario in which all particles in a population have the same probability of ending up in the sample.[1]
 | This article relies largely or entirely on a single source. (February 2012) |
The concentration of the property of interest in a sample can be a biased estimate for the concentration of the property of interest in the population from which the sample is drawn. Although generally non-zero, for correct sampling this bias is thought to be negligible.[1]
