1. [-/0.3 Points] DETAILS BBUNDERSTAT12 1.2.001. Explain the difference between a stratified sample and a cluster sample. (Select all that apply.) 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. In a stratified 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 cluster sample, the clusters to be included are selected at random and then all members of each selected cluster are included. In a stratified sample, every sample of size n has an equal chance of being included. In a cluster 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. Need Help? Read It Watch It 2. [-/0.3 Points] DETAILS BBUNDERSTAT12 1.2.002. Explain the difference between a simple random sample and a systematic sample. (Select all that apply.) In a systematic sample, the only samples possible are those including every kth item from the random starting position. In a simple random sample, the clusters to be included are selected at random and then all members of each selected cluster are included. In a systematic sample, random samples from each strata are included. In a systematic sample, the clusters to be included are selected at random and then all members of each selected cluster are included. )In a simple random sample, the only samples possible are those including every kth item from the random starting position. In a simple random sample, random samples from each strata are included. In a systematic sample, every sample of size n has an equal chance of being included. In a simple random sample, every sample of size n has an equal chance of being included. Need Help? Read It