Questions

The correct answer is 3. Stratified Sampling.

Stratified sampling is the most suitable method when the population is heterogeneous, meaning it has different subgroups. In this technique, the population is divided into distinct subgroups (strata) based on certain characteristics (e.g., age, gender, income), and then random samples are taken from each subgroup. This ensures that all relevant subgroups are well-represented in the sample.

• Simple Random Sampling doesn't account for subgroups, so it may not capture the diversity of a heterogeneous population effectively.

• Cluster Sampling involves dividing the population into clusters, but it's more useful when the population is geographically dispersed rather than heterogeneous in terms of characteristics.

• Convenient Sampling involves selecting a sample based on ease of access, but it can lead to biased results and doesn't ensure a representative sample.