Question

1. in which sampling method is the population divided into groups based on certain characteristics before sampling?

a. cluster sampling
b. random sampling
c. stratified sampling
d. systematic sampling

Explanation:

• Cluster sampling: Divides the population into clusters (e.g., geographical areas) and randomly selects some clusters. All elements in the selected clusters are included.
• Random sampling: Each element in the population has an equal chance of being selected without prior grouping.
• Stratified sampling: Divides the population into subgroups (strata) based on certain characteristics (e.g., age, gender). Then samples from each stratum.
• Systematic sampling: Selects elements at regular intervals from an ordered population list.

Answer:

C. Stratified sampling