A simple random sample is a subset of a statistical population where each member of the population is equally likely to be chosen.

Learn how simple random sampling works and what advantages it offers over other methods when selecting a research group from a larger population.

Systematic sampling, stratified sampling, and cluster sampling are other types of sampling approaches that may be used instead of simple random sampling.

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, ...

To answer these questions, 40 students were selected from the entire student population using simple random sampling (SRS). Selection by simple random sampling means that all students have an equal ...

This paper presents the results of a limited investigation which brings into focus the difficulties encountered in developing exact distribution-free methods for stratified simple random sampling. It ...

The objective is then to use the ranked set sampling procedure to obtain a second-phase sample and increase the efficiency of estimators relative to simple random sampling. Estimators of the ...