If the population is heterogeneous, which one of the following probability sampling methods is more appropriate ?
Stratified sampling
When a population is heterogeneous (made up of distinct groups that differ in the characteristic studied), a simple random sample may over- or under-represent some groups.
Stratified sampling divides the population into homogeneous sub-groups (strata) and then draws a random sample from each stratum, proportionately or disproportionately. This ensures every group is represented and gives more precise estimates for a heterogeneous population.
Quota sampling also uses groups, but units within each quota are picked at the interviewer's convenience, so it is a non-probability method. Sequential and double sampling decide the sample size in stages and are not designed to deal with heterogeneity of the population.
So stratified sampling is the appropriate probability method for a heterogeneous population.
Hence, the answer is Stratified sampling.
| LIST I | LIST II |
|---|---|
| A. Simple Random Sampling | I. Population is divided into strata out of which the sample is drown independently |
| B. Stratified Random Sampling | II. Sampling wherein a group of subjects is taken altogether as a sampling unit |
| C. Systematic sampling | III. Each member of the population has an equal chance of being selected in the sample |
| D. Cluster sampling | IV. Every 9th case is chosen for the study from a list of cases. |