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.

In simple random sampling, each unit has an equal probability of selection, and sampling is without replacement. Without-replacement sampling means that a unit cannot be selected more than once.

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 ...

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

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 ...