Which sampling technique should be used when the population's members differ from one another on several important characteristics?
A) quota sampling
B) simple random sampling
C) systematic sampling
D) stratified random sampling

Question

Quizplus · Accepted Answer

Stratified random sampling is the best choice when the population's members differ on several important characteristics. This technique involves dividing the population into homogeneous subgroups and then randomly sampling from each subgroup to ensure representation of each subgroup in the sample. This provides a more accurate representation of the population than simple random sampling or quota sampling. Systematic sampling involves selecting every nth individual from the population and may not ensure representation of all subgroups.

Which Sampling Technique Should Be Used When the Population's Members