Question

Out of these, which is not a probability sampling?

• A. cluster sampling
• B. stratified sampling
• C. quota sampling
• D. simple random sampling

Hint:

To identify non-probability methods, look for techniques that rely on human judgment or convenience (e.g., quota, purposive, snowball, or convenience sampling) rather than automated mathematical randomization.

Answer 1

The Correct Option is C

Step 1: Understanding the Concept:
Sampling methods are broadly classified into probability (random) sampling and non-probability (non-random) sampling.

Step 2: Detailed Explanation:
In probability sampling, every element in the population has a known, non-zero chance of being selected in the sample.
This category includes:
1. Simple Random Sampling: Every element has an equal probability of selection.
2. Stratified Sampling: The population is divided into subgroups, and random samples are drawn from each.
3. Cluster Sampling: The population is divided into clusters, and entire clusters are randomly selected.
In non-probability sampling, the selection is based on subjective judgment or convenience rather than random selection.
Quota Sampling is a non-probability method where researchers assemble a sample of individuals containing specific characteristics up to a certain quota, without random selection.
Therefore, quota sampling is not a probability sampling method.

Step 3: Final Answer:
The non-probability sampling method is quota sampling.