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

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

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Description: Explain the difference between a stratified sample and a cluster sample. (Select all that apply.)O In a stratified sample, the only samples possible are those including every kth item from the random starting position.OIn a cluster sample, random sa

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2-Proportion Test

In a 2-proportion test, two separate proportions are measured at the same time, and their similarity is evaluated. It is also known as a 2-proportion z-test, and a comparison of two different proportions is done in this method.

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