6Dec19 morning Q13
- Option : B
- Explanation : Stratified random sampling works best in case of a heterogeneous population. It is a method of sampling that involves the division of a population into smaller sub-groups known as strata, on the basis of the members' shared attributes or characteristics such as income or educational attainment. Simple random sampling is suitable to a homogenous population. It involves separate random selection of each household. Cluster sampling is simple random sample is taken from each of the different clusters in the population. Multiple clusters of people are created from a population where they are indicative of homogeneous characteristics and have an equal chance of being a part of the sample. Systematic random sampling does not involve separate random selection of each household. It is often used to select large samples from a long list of households and therefore, proceeds in a systematic manner, selecting every nth member of population to be included in the study.
