Which of the following are reasons for why simple random sampling is used infrequently in real applications?
A) Samples can be spread over a large geographic region
B) Simple random sampling requires that all sampling units be identified prior to sampling
C) Simple random sampling can result in underrepresentation or overrepresentation of certain segments of the population
D) All of these options

Question

Quizplus · Accepted Answer

All of these options are reasons why simple random sampling is used infrequently in real applications. Simple random sampling can be difficult to implement if the sampling units are spread out over a large geographic region, as it can increase costs and time. Additionally, simple random sampling requires that all sampling units be identified prior to sampling, which may not be feasible in certain situations. Finally, simple random sampling can result in underrepresentation or overrepresentation of certain segments of the population, which can lead to biased results. As a result, alternative sampling techniques, such as stratified sampling or cluster sampling, are often used in real-world applications.

Which of the Following Are Reasons for Why Simple Random