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

A simple random sample is used to represent the entire data population. A stratified random sample divides the population into smaller groups based on shared characteristics.

This paper gives alternative derivations for the standard variance formulas in two-stage sampling. The derivations are based on a direct use of the statistical properties of the sampling errors in the ...

As an estimator of the population mean, the sample mean based only on the distinct units possesses a remarkable invariance property. Under three forms of simple random sampling, viz. simple random ...

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

They concluded that systematic or stratified random sampling patterns are more effective than simple random sampling for bulk powder testing.

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 ...

However, there was a point of diminishing returns, where very high sample numbers—like testing every can produced—would not be meaningfully more powerful. They concluded that systematic or stratified ...