chapter  17
6 Pages

Variations on Random Sampling

As noted in Section 3, a population consists of all members of the group of interest to a researcher. A population may be small, such as all social workers employed by a public hospital in Detroit, or it may be large, such as all social workers in Michigan. The larger a population, the more likely a researcher will study only a sample of the population and infer that what is true of the sample is also true of the population.1 The process of making such an inference is referred to by statisticians as generalizing from a sample to a population.