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In each of the following situations, the sampling frame does not match the popul

ID: 3200343 • Letter: I

Question

In each of the following situations, the sampling frame does not match the population, resulting in undercoverage. Give examples of population members that might have been omitted. a) The population consists of all 250 students in your large statistics class. You plan to obtain a simple random sample of 30 students by using the sampling frame of students present next Monday. (Select all that apply.) Students who are not taking statistics cannot be sampled. Dropouts cannot be sampled. Home-schooled students cannot be sampled .Students who are skipping class cannot be sampled .Students who are on a school trip cannot be sampled .Students who are out sick cannot be sampled. (b) The population consists of all 15-year-olds living in the attendance district of a local high school. You plan to obtain a simple random sample of 200 such residents by using the student roster of the high school as the sampling frame. (Select all that apply.) Home-schooled students cannot be sampled. 16-year-olds cannot be sampled. Students who are skipping class cannot be sampled .Students who are out sick cannot be sampled. Dropouts cannot be sampled .Students who are on a school trip cannot be sampled.

Explanation / Answer

Solution:

a) Students who are skipping class cannot be sampled.

Students who are on a school trip cannot be sampled

Students who are out sick cannot be sampled.

All the students who are skipping the class by any reason are ommited from the sample.

b) Home-schooled students cannot be sampled (true).

16-year-olds cannot be sampled. These statement "applies" (is true) because these students are too old to be in the study

These statements don't "apply" (are not true) because these people's names would still be on the school roster anyway:
Students who are out sick cannot be sampled. (false)
Students who are skipping class cannot be sampled. (false)
Students who are on a school trip cannot be sampled. (false)

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