Education researchers are interested in the workload expectations of freshmen at a local university. Which of the following techniques would give a stratified random sample?

A stratified random sample divides the population into groups, then randomly selects people from every group. Here, the freshmen are divided by major, and 10 freshmen are randomly selected from each major. That makes choice B, randomly selecting 10 freshmen from each major, the stratified random sample. Choice D instead selects whole classes, which is a cluster-sampling approach.

AI-written and checked against the verified answer.