Which sampling method is MOST appropriate when the study population is naturally divided into non-overlapping subgroups and proportional representation of each subgroup is essential?
- A Simple random sampling
- B Stratified random sampling ✓
- C Systematic random sampling
- D Cluster sampling
Correct answer: B. Stratified random sampling
Explanation
Stratified random sampling divides the population into mutually exclusive strata (e.g., age groups, districts) and samples from each stratum, ensuring proportional or optimal representation. Simple random sampling may under-represent small strata by chance. Cluster sampling selects entire clusters and is efficient for geographically dispersed populations but increases design effect.
Reference: Park's Textbook of Preventive and Social Medicine, 27th ed.
High-yield for: NEET PGINI-CETNExTFMGEUSMLEPLABMRCP
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