The most likely type of bias to have occurred in the poll is undercoverage bias.
This type of bias occurs when the sample of respondents does not accurately represent the population of interest.
In this case, the sample of respondents is likely to have underrepresented eligible voters who did not vote in the last election.
This could be because these voters are more difficult to reach, or because they are less likely to agree to participate in the poll.
Here are some other possible types of bias that could have occurred in the poll:
Nonresponse bias: This type of bias occurs when some respondents do not answer the poll questions. In this case, it is possible that the respondents who did not answer the questions were more likely to be eligible voters who did not vote in the last election.
Measurement bias: This type of bias occurs when the poll questions are not worded in a way that accurately measures the respondents' opinions or beliefs. In this case, it is possible that the poll questions were not clear or concise enough, or that they were worded in a way that led respondents to give inaccurate answers.
It is also possible that a combination of these biases occurred in the poll. However, undercoverage bias is the most likely explanation for the large discrepancy between the poll results and the actual vote count.
Question
In a recent poll of 1,500 randomly selected eligible voters, only 525 (35 percent) said that they did not vote in the last election. However, a vote count showed that 80 percent of eligible voters actually did not vote in the last election. Which of the following types of bias is most likely to have occurred in the poll?