To select a sample of 100 households from a list of 2,500 households arranged randomly, an investigator picks a random number between 1 and 25, then selects every 25th household thereafter. This sampling technique is called:

• A Stratified random sampling
• B Systematic random sampling ✓
• C Cluster sampling
• D Multistage sampling

Explanation

Systematic random sampling selects units at a fixed interval from a starting point chosen at random within the first interval. Here the sampling interval equals population size divided by sample size, that is 2500 divided by 100, giving 25, and the first unit is picked randomly from 1 to 25. Stratified sampling requires dividing the frame into subgroups and sampling within each, cluster sampling samples whole groups, and multistage sampling proceeds through successive stages, none of which is described.

Reference: Park's Textbook of Preventive and Social Medicine, 27th ed.

High-yield for: NEET PGINI-CETNExTFMGEUSMLEPLABMRCP

Written and medically reviewed by the StethoPrep medical team.