Selecting a random sample from each identifiable subgroup within a population is called:
A) random sampling
B) systematic sampling
C) stratified sampling
D) cluster sampling
E) None of these options

Question

Quizplus · Accepted Answer

Stratified sampling involves dividing the population into subgroups or strata, based on certain characteristics, and then selecting a random sample from each stratum. This helps to ensure that each subgroup is adequately represented in the sample, allowing for more accurate conclusions to be drawn about the overall population. Random sampling involves selecting individuals randomly from the entire population, while systematic sampling involves selecting every nth individual from a list of the population. Cluster sampling involves randomly selecting groups, or clusters, from the population and then sampling individuals within those clusters.

Selecting a Random Sample from Each Identifiable Subgroup Within a Population