Stratified random sampling is usually a better approach than random sampling if the researcher
A) wants to avoid sampling bias.
B) is studying a target population that is highly homogeneous.
C) expects small differences between the groups being compared.
D) wants to study the performance of different subgroups within the sample.

Question

Quizplus · Accepted Answer

Stratified random sampling is particularly useful when a researcher aims to study differences or compare performance across various subgroups within a population. This method ensures that each subgroup is adequately represented in the sample, allowing for more accurate and specific analysis of each group's characteristics or behaviors.

Stratified Random Sampling Is Usually a Better Approach Than Random