Answer:
Undercoverage Bias
Explanation:
Undercoverage Bias occurs when some members of the population under study that should be included in the study are omitted. This then means that the sample is not a true representation of the entire population. In the sampling design above, a problem that would most likely occur would be undercoverage bias.
This is because the sample that was chosen for the study did not represent the entire population of the local households. Since they came during the daytime to conduct their poll, they have omitted members of the population who go to work and may not be at home at the time of the poll.