Sampling all different subgroups within a population is an example of
A) random sampling.
B) stratified sampling.
C) incidental sampling.
D) purposive sampling.

Question

Quizplus · Accepted Answer

Stratified sampling involves dividing the population into subgroups or strata and then randomly selecting samples from each subgroup. This ensures representation from all subgroups within the population, making it the best choice for sampling all different subgroups. Random sampling only selects samples randomly without considering subgroups, incidental sampling relies on convenience and may not represent all subgroups equally, and purposive sampling involves selecting samples based on specific criteria, which may not include all subgroups within the population.

Sampling All Different Subgroups Within a Population Is an Example