Correct Answer: Correct answer is: (D) Stratified sampling.
Exam Relevance: GRE, GMAT, MCAT, LSAT
Difficulty: Moderate
Concept notes: Stratified sampling involves dividing the population into distinct subgroups (strata) based on specific characteristics and then sampling from each stratum. This method ensures that each subgroup is adequately represented in the sample.
Common Mistakes: Students often confuse stratified sampling with cluster sampling, where the population is divided into clusters and entire clusters are randomly selected.
Explanations: In Response Analysis Survey (RAS), stratified sampling is used to ensure that the sample accurately reflects the diversity of the population. By dividing the population into strata based on relevant characteristics, such as age, gender, or income, and then sampling from each stratum, the survey results are more representative and reliable.
Option Analysis: - Option A: Simple random sampling does not ensure that specific subgroups are represented proportionally, which is crucial for RAS.
- Option B: Cluster sampling involves selecting entire clusters, which may not provide the same level of representation as stratified sampling.
- Option C: Quota sampling relies on non-random selection methods and may introduce bias, making it less suitable for RAS.
- Option D: Stratified sampling ensures that each subgroup is adequately represented, making it the most appropriate method for RAS.
Mnemonic: SRS: Stratify, Represent, Sample
Ques 51 explanation is not related to the question…
Very useful question but plz give explanation with correct answer