In each of the following situations, the sampling frame does not match the population, resulting in undercoverage. Give example of population members that might have been omitted. a) The population consists of all 250 students in your laege statistics class. You plan to obtain a sample random sample of 30 students by using the sample frame of students present next Monday. b) The population consists of all 15-year-olds living in the attendance district of a local high school. You plna to obtain a simple random sample of 200 such residents by using the student roster of the high school as the sampling frame.

In each of the following situations, the sampling frame does not match the population, resulting in undercoverage. Give example of population members that might have been omitted. a) The population consists of all 250 students in your laege statistics class. You plan to obtain a sample random sample of 30 students by using the sample frame of students present next Monday. b) The population consists of all 15-year-olds living in the attendance district of a local high school. You plna to obtain a simple random sample of 200 such residents by using the student roster of the high school as the sampling frame.

Question
Modeling data distributions
asked 2021-01-05
In each of the following situations, the sampling frame does not match the population, resulting in undercoverage. Give example of population members that might have been omitted.
a) The population consists of all 250 students in your laege statistics class. You plan to obtain a sample random sample of 30 students by using the sample frame of students present next Monday.
b) The population consists of all 15-year-olds living in the attendance district of a local high school. You plna to obtain a simple random sample of 200 such residents by using the student roster of the high school as the sampling frame.

Answers (1)

2021-01-06
(a) Nonresponse bias is the results of not having data for everybody in the sample.
A simple random sample of 30 students was drawn from the students present in the statistics class next Monday.
However, some students do not come to class or some might have another class at the same time (to which they choose to go to) or some might be il, and thus all students in the class do not have the same chance of being selected.
This then means that the sample suffers from undercoverage.
(b) Nonresponse bias is the results of not having data for everybody in the sample.
A simple random sample of 200 residents was drawn was drawn from the student roster of the local high school, where we are only interested in 15-year-old.
However, some 15-year-olds will no go to that particular local high school, because they might go to some private school or are homeschooling.
This then means that the sample suffers from undercoverage.
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