Question:

Which of the following is/are random sampling method/s?

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Random sampling ensures that each participant has an equal chance of selection, reducing bias in the sample.
Updated On: Apr 26, 2025
  • Snowball sampling
  • Cluster sampling
  • Convenience sampling
  • Stratified sampling
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The Correct Option is B, D

Solution and Explanation

Step 1: Define random sampling methods. 
Random sampling methods are those that select participants from a population in such a way that each individual has an equal chance of being chosen.
 Step 2: Evaluate each sampling method. 
(A) Snowball sampling – This is a non-random sampling method, where participants are selected based on referrals from other participants.
(B) Cluster sampling – A random sampling method where the population is divided into groups (clusters), and then a random sample of these clusters is selected.
(C) Convenience sampling – This is a non-random method where participants are selected based on their availability or convenience.
(D) Stratified sampling – A random method where the population is divided into strata based on certain characteristics, and a random sample is taken from each stratum. 
Conclusion: Cluster and Stratified sampling are random sampling methods.

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