Respuesta :
Answer:
b) Coverage error is when respondents give untruthful answers
Explanation:
Coverage error occurs when the target population isn't the population actually sampled.
Coverage error could be undercoverage or over coverage.
undercoverage is when the sampling population doesn't include all of the target population.
Over coverage is when some of the target population is over represented in the sample population.
I hope my answer helps you
Answer:
b) Coverage error is when respondents give untruthful answers.
Explanation:
Coverage error is a form of bias in experiments, where the selected sample does not match with the population for whom the experiment is actually meant for. This problem could arise as a result of undercoverage or overcoverage of samples.
Undercoverage is a situation wherein the members of the earmarked population are not included in the sample. Overcoverage occurs when samples that are not from the intended population, are included in error or even included more than once.