Step 1: Understanding non-random sampling.
Non-random sampling involves selecting a sample in a way that does not give all members of the population an equal chance of being selected.
Step 2: Analysis of options.
- (A) Convenience sampling: This is a non-random sampling method where individuals are selected based on ease of access.
- (B) Cluster sampling: This is a random sampling method where the population is divided into clusters, and some clusters are randomly selected.
- (C) Quota sampling: This is a non-random sampling method where the researcher selects a sample to meet specific quotas.
- (D) Snowball sampling: This is a non-random sampling method where existing subjects recruit new subjects.
Step 3: Conclusion.
Cluster sampling is a random sampling method, so the correct answer is (B).