Question

I Previous Answers BBUnderStat12 12.001 Explain the difference between a stratified sample and a cluster sample. (Select all that apply) In a stratified sample, every sample of size n has an equal chance of being included. In a stratified sample, random samples from each strata are included. □ In a cluster sample, the only samples possible are those including every kth item from the random starting position. □ In a cluster sample, the clusters to be included are selected at random and then all members of each selected cluster are included In a cluster sample, random samples from each strata are included. In a cluster sample, every sample of size n has an equal chance of being included. □ In a stratified sample, the clusters to be included are selected at random and then all members of each selected cluster are included. In a stratified sample, the only samples possible are those including every kth item from the random starting position.

Answer 1

The difference between a stratified and cluster sample is,
In a stratified sample, random samples from each stratum are included

In a cluster sample, the clusters to be included are selected are selected at random and then all members of each selected cluster are included

option 2) and option 4) are correct