m8ommalyshaAes
Answered

Explain the difference between a stratified sample and a cluster sample.

AIn a stratified sample, random samples from each strata are included.
BIn a cluster sample, the only samples possible are those including every kth item from the random starting position.
CIn a cluster sample, every sample of size n has an equal chance of being included.
DIn a cluster sample, random samples from each strata are included.
EIn a stratified sample, the only samples possible are those including every kth item from the random starting position.

Verified Answer :

meerkat18

A stratified sampling is obtained by taking samples from each stratum or subgroup of a population while the Cluster Sampling is a sampling technique where the entire population is divided into groups or cluster and a random sample of these clusters are selected. I hope this would help you

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