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MMLU-Pro / 7701 / A company with offices in five different countries is interested in estimating…

Problem

Answer published by the source. Consult the official source to check your work against its answer.

question

A company with offices in five different countries is interested in estimating the proportion of its employees in favor of banning smoking on the office premises. It is known that the views of people from different countries on issues like smoking tend to vary due to the influence of different local social structures. Which of the following is an appropriate sampling technique to use in this situation, and why?

category

math

options

  1. Convenience sample, because it's the easiest method to execute
  2. Cluster sample, because it's cheaper and easier to conduct than a stratified sample
  3. Multi-stage sample, because it allows the company to randomly select offices, then employees within those offices
  4. Non-probability sample, because it doesn't require the company to know the overall population size.
  5. Simple random sample, because this is the simplest sampling method
  6. Stratified sample, because the population is divided into five strata—namely, five offices in five different countries
  7. Cluster sample, because the population is divided into five clusters—namely, five offices in five different countries
  8. Systematic sample, because the company can select every nth employee from each country
  9. Quota sample, because the company wants to ensure that the sample accurately represents the population in terms of the proportion of employees from each country
  10. Simple random sample, because this is the only method that gives unbiased results

src

ori_mmlu-high_school_statistics

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Source and history

upstream_id / Original problem ID
7701
task_id
1e7fa9fc-b23d-5d4e-a2d4-fc3351cd0eae
task_key
default--test--7701
task_revision_id
1
config / split
default / test

Official source

initial import