Question Details

Cluster sampling is often less convenient and more costly 



True or false:
1.	In stratified sampling, the population is divided into relatively homogeneous subsets called strata, and then random samples are taken from each stratum.

	

	2.	Stratified samples are typically not used in real applications because they provide less accurate estimates of population parameters for a given sampling cost.

	

	3.	In stratified sampling with proportional sample sizes, the proportion of each stratum selected differs from stratum to stratum.

	

	4.	In cluster sampling, the population is divided into subsets called clusters (such as cities or city blocks), and then a random sample of the clusters is selected. Once the clusters are selected, we typically sample all of the members in each selected cluster.


	5.	Cluster sampling is often less convenient and more costly than other random sampling methods.




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