Probability Sampling To increase sampling precision, researchers may randomly sample from
Subjects in each subgroup in the same proportions that exist in the
Population.This technique is called
A)cluster sampling.
B)quota sampling.
C)simple random sampling.
D)stratified random sampling.

Question

Quizplus · Accepted Answer

Stratified random sampling allows for the selection of subgroups within a population and ensures that each subgroup is represented in the sample in the same proportion as it exists in the population. This increases the precision of the sample and can reduce sampling error. Cluster sampling randomly selects groups or clusters within a population, which may not ensure representation of all subgroups. Quota sampling involves selecting participants based on predetermined quotas, which may not accurately reflect the population. Simple random sampling may not address the need for representation of subgroups. Therefore, stratified random sampling is the best choice for increasing sampling precision.

Probability Sampling to Increase Sampling Precision, Researchers May Randomly Sample