1. + -/1 points BBBasicStat7 1.2.001 Explain the difference between a stratified sample and a cluster...

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1. + -/1 points BBBasicStat7 1.2.001 Explain the difference between a stratified sample and a cluster sample. (Select all that apply.) In a cluster sample, every sample of size n has an equal chance of being included. In a stratified 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 cluster sample, random samples from each strata are included. 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, the only samples possible are those including every kth item from the random starting position. In a stratified sample, random samples from each strata are included. In a stratified sample, the only samples possible are those including every kth item from the random starting position. 1. + -/1 points BBBasicStat7 1.2.001 Explain the difference between a stratified sample and a cluster sample. (Select all that apply.) In a cluster sample, every sample of size n has an equal chance of being included. In a stratified 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 cluster sample, random samples from each strata are included. 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, the only samples possible are those including every kth item from the random starting position. In a stratified sample, random samples from each strata are included. In a stratified sample, the only samples possible are those including every kth item from the random starting position.

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