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

Visualizing a simple random sample: Simple Random Sample of Lotto Balls This applet animates the random sampling of lotto balls. The population size can be set anywhere between 1 and 144. Users can ...

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

We assume that the natural first-phase sample is collected with probability of selection proportional to size for each unit. The objective is then to use the ranked set sampling procedure to obtain a ...

A sample of 100 customers is selected from the data set Customers by simple random sampling. With simple random sampling and no stratification in the sample design, the selection probability is the ...

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