Question

Explain the difference between a stratified sample and a cluster sample.
A. In a stratified sample, random samples from each strata are included.
B. In a cluster sample, the only samples possible are those including every kth item from the random starting position.
C. In a cluster sample, every sample of size n has an equal chance of being included.
D. In a cluster sample, random samples from each strata are included.
E. In a stratified sample, the only samples possible are those including every kth item from the random starting position.

Answer 1

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