Simple random sampling lets researchers make generalizations about a specific ... based on shared characteristics—thus ensuring that members from each subgroup are included in the data analysis.

Here's a simple way to show how a researcher can remove bias when conducting simple random sampling. Let's say there are 100 bingo balls in a bowl, from which the researcher must choose 10.

A simple random sample takes a small, random portion of the entire population to represent the entire data set, where each member has an equal probability of being chosen.

The example in the section "Stratified Sampling" assumes that the sample of students was selected using a stratified simple random sampling design. ... The following SAS statements perform the ...