Question:medium

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: The scenario has two clear stages: forming groups first, then randomly picking individuals from inside each group.

Step 2: This two-stage design, where the population is split into strata and a random draw is taken from every stratum, is the textbook definition of stratified random sampling.

Step 3: It is distinguished from the alternatives because simple random sampling involves no grouping at all, systematic sampling selects every fixed interval from an ordered list, and cluster sampling randomly chooses entire groups and surveys everyone within them instead of sampling from each group.

Step 4: The match with the described method confirms stratified random sampling.

\[\boxed{\text{Stratified random sampling}}\]
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