Answered

Connect with knowledgeable individuals and find the best answers at IDNLearn.com. Ask your questions and get detailed, reliable answers from our community of knowledgeable experts.

What is the main difference between a Cluster Sample and a Stratified Random Sample?

A. A Stratified Random Sample contains groups selected for convenience, but a Cluster Sample uses groups that have some characteristic in common.
B. A Cluster Sample contains groups selected for convenience, but a Stratified Random Sample uses groups that have some characteristic in common.

Sagot :

GinnyAnsweridn

Final answer:

Cluster samples involve selecting entire clusters, whereas stratified random samples ensure representation from each stratum.


Explanation:

Cluster Sample: Involves dividing the population into clusters and randomly selecting some clusters to include all members in those clusters. For example, selecting homeroom classes from a student population.

Stratified Random Sample: Involves dividing the population into strata and ensuring representation from each stratum. For instance, sampling students from each grade level.

Difference: A cluster sample includes entire clusters while a stratified random sample ensures representation from each stratum of the population.


Learn more about Sampling Methods here:

https://brainly.com/question/12902833


Thank you for using this platform to share and learn. Don't hesitate to keep asking and answering. We value every contribution you make. Thank you for visiting IDNLearn.com. We’re here to provide clear and concise answers, so visit us again soon.