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.

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.

Simple random sampling – In this sampling method, each item in the population has an equal probability of getting selected in the sample. First, you must assign a unique identifier to each item.

The results obtained by the authors so far on controlled sampling with equal probabilities and without replacement have been consolidated in this paper in an integrated fashion. Utilizing these ...