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

Researchers choose simple random sampling to make generalizations about a population. Major advantages include its simplicity and lack of bias.

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

In stratified random sampling, one splits the population into non-overlapping groups (e.g., under 30 years of age, 30 years and over) and then uses systematic or simple random sampling to select ...

When observations are costly or time-consuming but the ranking of the observations without actual measurement can be done relatively easily, rankedset sampling (RSS) can be employed instead of simple ...

Random time sampling of activities (work sampling) is successfully applied to everyone in a division of 350 employees for the purpose of budget planning and cost control. To insure this success ...

Sampling is a process used in statistical analysis in which a group of observations are extracted from a larger population.

The Numbers: Columnist Jo Craven McGinty explores the complex sampling technique that allows the U.S. government to collect representative data at less cost than simple random sampling.