Learn the distinctions between simple and stratified random sampling. Understand how researchers use these methods to accurately represent data populations.

Sampling is the process of creating a small unbiased population to be used in a test or experiment. The sample removes the impractical idea of surveying everyone in a market or a population. Random ...

Suppose that the sample of students described in the previous section was actually selected using stratified random sampling. In stratified sampling, the study population is divided into ...