From the list select ALL right answers. What are the differences and similarities between cluster and stratified sampling? O Similarity: Both generates exactly the same sample. O Both sampling methods are exactly the same. O The stratified and cluster methods do not have similarities. Difference: Not both consider grouping the population. O) Difference: In stratified sampling, the subjects are grouped based in its characteristics. In cluster sampling, the subjects are grouped based in its location. O Similarity: Both consider grouping the population. O) Difference: Stratified is used for samples smaller that 30. Cluster is used for samples over 30 subjects. O Similarity: Both uses random selection