Match the column

Match the List I with List II:

Codes

Correct option is B

The correct matching of sampling methods with their descriptions is:
· A. Cluster Sampling: This method involves grouping the population into clusters and then selecting whole clusters for sampling. It is particularly useful when the population is spread over a large area. The correct match is II. Grouping the selected population and choosing the groups.
· B. Sequential Sampling: This method involves sampling sequentially and does not determine the final sample size in advance. The correct match is IV. No advance ascertainment of the final sample size.
· C. Stratified Sampling: This method involves dividing the population into subgroups (strata) that share similar characteristics, and then taking a representative sample from each stratum. The correct match is I. Representative sample selected when a population is a heterogeneous group.
· D. Quota Sampling: This non-probability sampling method involves selecting samples based on the judgment of the researcher, where the sample is chosen to meet a pre-determined quota for specific characteristics. The correct match is III. Choosing the sample based on judgment.
Information Booster:
· Cluster Sampling: Useful for large, geographically dispersed populations. Clusters are chosen randomly, and then all or a random sample from within these clusters is selected.
· Sequential Sampling: Often used in situations where sample sizes are not fixed initially, and sampling continues until a pre-determined result is achieved.
· Stratified Sampling: Ensures that every subgroup (stratum) within a population is proportionately represented, providing a more accurate reflection of the entire population.
· Quota Sampling: A non-random method where researchers select specific numbers of participants from each subgroup, based on the researcher's judgment or convenience.