Which of the following are probability sampling? (A) Cluster sampling (B) Quota sampling (C) Multiphase sampling (D) Stratified random sampling (E) Snowball sampling Choose the correct answer from the options given below :
Understanding Probability Sampling Methods
Probability sampling techniques ensure that every individual in the population has a known, non-zero chance of being selected for the sample. This randomness is crucial for generalizing findings to the larger population.
Analysis of Sampling Methods
Let's examine each option to determine if it qualifies as probability sampling:
- (A) Cluster sampling: This is a probability sampling method. The population is divided into groups (clusters), and then a random selection of clusters is made. All individuals within the selected clusters are included in the sample.
- (B) Quota sampling: This is a non-probability sampling method. Participants are selected based on pre-defined quotas, but the selection within those quotas is not random.
- (C) Multiphase sampling: This method involves collecting information from a sample using different techniques in multiple stages. While complex, it typically relies on probability sampling principles at various stages to be effective and is often categorized under probability sampling designs.
- (D) Stratified random sampling: This is a core probability sampling method. The population is divided into distinct subgroups (strata), and a random sample is drawn from each stratum.
- (E) Snowball sampling: This is a non-probability sampling technique where existing participants recruit future participants from their acquaintances.
Conclusion
Based on the analysis, Cluster sampling (A), Multiphase sampling (C), and Stratified random sampling (D) are considered probability sampling methods. Quota sampling (B) and Snowball sampling (E) are non-probability methods.
Therefore, the correct combination is (A), (C), and (D).
Important Questions from Probability and Statistics
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