Explain the difference between a stratified sample and a cluster sample. (Select all that apply.)

Stratified sampling is one, in which the population is divided into homogeneous segments, and then the sample is randomly taken from the segments. Cluster sampling refers to a sampling method wherein the members of the population are selected at random, from naturally occurring groups called 'cluster'.