A company with offices in 5 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?

A company with offices in 5 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?



A) Cluster sample, because the population is divided into 5 clusters -- name 5 offices in 5 countries.

B) Stratified sample, because the population is divided into 5 strata -- namely 5 offices in 5 countries.

C) Simple random sample, because this is the simplest sampling method.

D) Simple random sample, because this is the only method for which inferential techniques are available.

E) Simple random sample, because this is the only method that gives unbiased results.



Answer: stratified sample, because the population is divided into 5 strata -- namely 5 offices in 5 countries


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