Question:
People are separated into groups, and from each group people are selected randomly. What type of sampling is this?
People are separated into groups, and from each group people are selected randomly. What type of sampling is this?
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Divide into groups first, then randomly sample within each group - that is the key.
Updated On: Jun 24, 2026
- Simple random
- Stratified random
- Systematic random
- Cluster
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The Correct Option is B
Solution and Explanation
Step 1: In stratified random sampling the population is first divided into homogeneous subgroups called strata (for example by age, sex or income), and then a random sample is drawn from within each stratum.
Step 2: The question describes exactly this: people are separated into groups and then selected randomly from each group, which is the defining feature of stratified random sampling.
Step 3: In simple random sampling every unit of the whole population has an equal chance with no prior grouping. In systematic sampling every kth unit is chosen from a list. In cluster sampling whole groups (clusters) are randomly selected and all members of chosen clusters are studied, rather than picking individuals from within every group. Hence stratified random sampling is correct.
Step 2: The question describes exactly this: people are separated into groups and then selected randomly from each group, which is the defining feature of stratified random sampling.
Step 3: In simple random sampling every unit of the whole population has an equal chance with no prior grouping. In systematic sampling every kth unit is chosen from a list. In cluster sampling whole groups (clusters) are randomly selected and all members of chosen clusters are studied, rather than picking individuals from within every group. Hence stratified random sampling is correct.
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