Explain the difference between a stratified sample and a cluster sample. (Select all that apply.)
(1) In a cluster sample, every sample of size n has an equal chance of being included.
(2) In a stratified sample, every sample of size n has an equal chance of being included.
(3) In a stratified sample, the clusters to be included are selected at random and then all members of each selected cluster are included.
(4) In a cluster sample, random samples from each strata are included.
(5) In a cluster sample, the clusters to be included are selected at random and then all members of each selected cluster are included.
(6) In a cluster sample, the only samples possible are those including every kth item from the random starting position.
(7) In a stratified sample, random samples from each strata are included.
(8) In a stratified sample, the only samples possible are those including every kth item from the random starting position.