17. The best approach for creating a stratified random sample of a population involves: A. drawing an equal number of simple random samples from each subpopulation. B. selecting every kth member of the population until the desired sample size is reached. C. drawing simple random samples from each subpopulation in sizes proportional to the relative size of each subpopulation.
17. The best approach for creating a stratified random sample of a population involves: A. drawing an equal number of simple random samples from each subpopulation. B. selecting every kth member of the population until the desired sample size is reached. C. drawing simple random samples from each subpopulation in sizes proportional to the relative size of each subpopulation.
MATLAB: An Introduction with Applications
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![17. The best approach for creating a stratified random sample of a population involves:
A drawing an equal number of simple random samples from each subpopulation.
B. selecting every kth member of the population until the desired sample size is
reached.
C. drawing simple random samples from each subpopulation in sizes proportional to
the relative size of each subpopulation.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd290b8c5-8b47-468d-813d-c4c778a9012e%2F1df7a3ee-d584-49bb-b38f-182fc653562b%2Fgyqqhmf_processed.jpeg&w=3840&q=75)
Transcribed Image Text:17. The best approach for creating a stratified random sample of a population involves:
A drawing an equal number of simple random samples from each subpopulation.
B. selecting every kth member of the population until the desired sample size is
reached.
C. drawing simple random samples from each subpopulation in sizes proportional to
the relative size of each subpopulation.
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