Question:

Which of the following is not a type of non-random sampling?

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Non-random sampling techniques include methods like convenience sampling, quota sampling, and snowball sampling, while random sampling techniques include methods like cluster sampling.
Updated On: Mar 16, 2026
  • Convenience sampling
  • Cluster sampling
  • Quota sampling
  • Snowball sampling
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The Correct Option is B

Solution and Explanation

Sampling techniques can be classified into random and non-random sampling. Random sampling methods give each individual in the population an equal chance of being selected, while non-random sampling methods do not. - (A) Convenience sampling: This is a non-random sampling method where samples are selected based on ease of access or convenience, making it a non-random sampling technique.
- (B) Cluster sampling: This is a random sampling technique where the population is divided into clusters, and some clusters are randomly selected to participate in the study. Therefore, it is not a non-random sampling method.
- (C) Quota sampling: This is a non-random sampling technique where the researcher selects a sample that meets certain quotas or characteristics, making it non-random.
- (D) Snowball sampling: This is a non-random sampling technique where participants are asked to refer other participants, and the sample grows in this way, which makes it a non-random technique.
The correct answer is (B), as cluster sampling is a type of random sampling. Final Answer: (B) Cluster sampling.
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