How Stratified Random Sampling Works, With Examples

Stratified random sampling is a method of sampling that divides a population into smaller groups that form the basis of test samples.
Simon Fraser University

Example 63.3: PPS (Dollar-Unit) Sampling

A small company wants to audit employee travel expenses in an effort to improve the expense reporting procedure and possibly reduce expenses. The company does not have resources to examine all expense ...
National Academies of Sciences%2c Engineering%2c and Medicine

Small Populations, Large Effects: Improving the Measurement of the Group Quarters Population in the American Community Survey

The sampling frame for the American Community Survey (ACS) is based on the Master Address File (MAF), which is the Census Bureau’s inventory of known housing units, group quarters (GQ), transitory ...
Simon Fraser University

Example 62.2: Simple Random Cluster Sampling

This example illustrates the use of regression analysis in a simple random cluster sampling design. The data are from S rndal, Swenson, and Wretman (1992, p. 652). A total of 284 Swedish ...