Sampling Issues

  • Michael O. Finkelstein
  • Bruce Levin
Part of the Statistics for Social and Behavioral Sciences book series (SSBS)


The objective of random sampling is to be able to draw valid statistical inferences about properties or parameters of the population from which the sample is drawn. For example, a random sample of a company’s employee medical claims drawn for auditing may have the purpose of estimating the proportion of improper allowances in the entire set of claims for a given time period. Other statistical inferences that rely on sampling include hypothesis tests about purported parameter values, prediction of future events, and selection or ranking of populations along some dimension of preferability.


Housing Unit Simple Random Sample Current Population Survey Census Count Sampling Precision 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer Science+Business Media, LLC 2015

Authors and Affiliations

  • Michael O. Finkelstein
    • 1
  • Bruce Levin
    • 2
  1. 1.New YorkUSA
  2. 2.Department of BiostatisticsColumbia University Mailman School of Public HealthNew YorkUSA

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