[Home]History of Survey Sampling

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Revision 3 . . (edit) June 29, 2001 6:38 pm by Larry Sanger
Revision 2 . . March 25, 2001 12:57 am by Dick Beldin
Revision 1 . . February 24, 2001 7:23 am by Dick Beldin
  

Difference (from prior major revision) (minor diff, author diff)

Changed: 1,11c1
back to Statistics

: Planning Research -- Designing Experiments

The model of a randomly selected sample from a finite population has been very fruitful. Sophisticated sampling techniques that are both economical and scientifically reliable have been developed. An entire industry of public opinion polling as well as the technical activities of the [U.S. Bureau of the Census] depend on these techniques.

The most elementary methodology is called [Simple Random Sampling]?. Most of the theory of statistics assumes this kind of sampling unless otherwise noted. It assures that every possible subset of the population which has the desired sample size is given the same probability of selection. The possibility of very expensive or very atypical samples has lead to a variety of modfications such as Stratified Sampling, Cluster Sampling, and [Multistage Sampling]?. The most experienced center in these techniques outside the Census Bureau is the [University of Michigan Survey Research Center].



Dick Beldin

#REDIRECT Survey sampling

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