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?

This is a response bias

Step-by-step explanation:

Response bias is a general term for a wide range of tendencies for participants to respond inaccurately or falsely to questions. These biases are prevalent in research involving participant self-report, such as structured interviews or surveys. Response biases can have a large impact on the validity of questionnaires or surveys.

This is exactly what happens here in the excercise, the result of the poll do not match the vote count, both results do not match, therefore, we can see that a lot of people lied in the poll or simply did not answer it very well.

im not sure what this means: mc011-7.jpg

step-by-step explanation: