Partitioning a population into hierarchical groups or levels,and selecting a sample from each group or level is known as:
A)simple random sampling.
B)stratified sampling.
C)systematic sampling.
D)judgment sampling.

Question

Quizplus · Accepted Answer

Stratified sampling involves dividing the population into subgroups based on certain characteristics, and then selecting a sample from each subgroup. This helps to ensure that the sample is representative of the entire population, and can be particularly useful when studying groups that are known to have varying characteristics. Simple random sampling involves selecting a sample at random from the entire population, without any specific subgroups or characteristics, while systematic sampling involves selecting every nth member of the population. Judgment sampling involves selecting participants based on the researcher's own judgment or criteria, which may introduce bias into the sampling process. Overall, stratified sampling is the best choice for ensuring representative sampling across different subgroups of the population.

Partitioning a Population into Hierarchical Groups or Levels,and Selecting a Sample