Answer: a) undercoverage.
Explanation:
- Undercoverage: It is a kind of selection bias. When some data is represented inaccurately in a survey, then we call it suffer from undercoverage.
- False response: It means the survey shows false results.
- Non response: It means the survey shows no response.
Here, 4% of households have no telephone, 10% have only cell phones, and another 25% have unlisted telephone numbers.
It shows that data inadequately represented in the sample.
Thus, the sample will suffer from undercoverage.
Correct option: a) undercoverage.