Compare With Examples Cluster Sampling From Simple Random Sampling. Time consuming and tedious data need to be available for strata. Cluster sampling is appropriate when you are unable to sample from the entire population.
A sampling process that uses more than one kind of sampling. The cluster method comes with a number of advantages over simple random sampling and stratified sampling. Less random than simple random sampling may lack certain important trait.
The same business referenced above the one that used cluster sampling to study brand penetration might break down the neighborhood clusters into strata according to income and take a simple random sample from each subgroup.
Less random than simple random sampling may lack certain important trait. Less random than simple random sampling may lack certain important trait. You are interested in the average reading level of all the seventh graders in your city. Population units not individuals.
