Correct Answer: Correct answer is: (B) Quota sampling.
Exam Relevance: AP Statistics, GRE, GMAT, MCAT
Difficulty: Moderate
Concept notes: Quota sampling is a non-probability sampling method where the researcher ensures that certain characteristics are represented in the sample in proportion to their presence in the population. This differs from probability sampling methods, which involve random selection.
Common Mistakes: Students often confuse quota sampling with stratified sampling, as both involve dividing the population into subgroups. However, in quota sampling, the selection within each subgroup is not random.
Explanations: Quota sampling is not a probability sampling method because it does not involve random selection. Instead, it relies on the researcher's judgment to select participants who meet certain quotas. In contrast, cluster sampling, systematic sampling, and stratified sampling all involve random selection at some stage, making them probability sampling methods.
Option Analysis: - Option A: Cluster sampling is a probability sampling method where the population is divided into clusters, and clusters are randomly selected.
- Option B: Quota sampling is a non-probability sampling method where the researcher ensures that certain characteristics are represented in the sample in proportion to their presence in the population.
- Option C: Systematic sampling is a probability sampling method where every nth member of the population is selected after a random start.
- Option D: Stratified sampling is a probability sampling method where the population is divided into strata, and random samples are taken from each stratum.
Ques 51 explanation is not related to the question…
Very useful question but plz give explanation with correct answer