Question

1. which sampling method divides a population into subgroups and selects a sample from each subgroup? a. simple random sampling b. stratified sampling c. systematic sampling d. cluster sampling

Explanation:

Stratified sampling divides a population into subgroups (strata) based on certain characteristics and then selects a sample from each subgroup. Simple random sampling selects samples randomly from the whole population without dividing it into subgroups. Systematic sampling selects elements at regular intervals from an ordered population list. Cluster sampling divides the population into clusters and then selects entire clusters as samples instead of sampling from each subgroup.

Answer:

B. Stratified sampling