Question:
A population is divided into relevant subgroups and samples are selected randomly from each of these subgroups. What type of sampling is this?
A population is divided into relevant subgroups and samples are selected randomly from each of these subgroups. What type of sampling is this?
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Random selection from within every homogeneous subgroup points to which method?
Updated On: Jun 24, 2026
- Simple random sampling
- Stratified sampling
- Cluster sampling
- Systematic sampling
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The Correct Option is B
Solution and Explanation
Step 1: The key feature described is dividing the population into meaningful, homogeneous subgroups before sampling.
Step 2: These subgroups are called strata (for example by age, sex, or income). When the population is split into strata and a random sample is drawn from within each stratum, the method is stratified random sampling.
Step 3: Compare the alternatives: simple random sampling draws directly from the whole population without subdivision; cluster sampling divides the population into clusters and then selects whole clusters (not units from every cluster); systematic sampling picks every k-th unit from a list.
Step 4: Because units are drawn randomly from each subgroup (stratum), this is stratified sampling. The correct answer is option 2 (Stratified sampling).
Step 2: These subgroups are called strata (for example by age, sex, or income). When the population is split into strata and a random sample is drawn from within each stratum, the method is stratified random sampling.
Step 3: Compare the alternatives: simple random sampling draws directly from the whole population without subdivision; cluster sampling divides the population into clusters and then selects whole clusters (not units from every cluster); systematic sampling picks every k-th unit from a list.
Step 4: Because units are drawn randomly from each subgroup (stratum), this is stratified sampling. The correct answer is option 2 (Stratified sampling).
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