Question

A polling firm wants to contact a random sample of people likely to vote in an upcoming nation-wide election. they will use a random digit dialer to generate and call phone numbers at random, so the poll will include people with landlines, unlisted numbers, and mobile phones. the random digit dialer skips invalid phone numbers. if a person doesn't answer a call, the dialer will try one more time, and then skip that number. when a person does answer, a pollster asks a set of initial questions—such as the person's age and whether or not they voted in previous elections—to see if they are likely to vote in the upcoming election. if they are eligible and likely to vote, the pollster will then ask a series of questions about the election. which of the following is not a potential source of bias in their poll? choose 1 answer:

Answer 1

One potential source of bias in the poll is the exclusion of certain groups of people who do not have access to a telephone. Another potential source of bias is the use of random digit dialing, which may result in some numbers being skipped or not reached. The pollster's initial questions to determine likelihood of voting can also introduce bias.

Step-by-step explanation:

One potential source of bias in the poll is the fact that not everyone has a telephone. This means that certain groups of people, such as those without access to a phone or those who only use cell phones, may be excluded from the sample. This can lead to a biased representation of the population as a whole.

Another potential source of bias is the use of random digit dialing to generate phone numbers. While this method allows for inclusion of landlines, unlisted numbers, and mobile phones, it may still result in some numbers being skipped or not reached due to factors such as invalid numbers or people not answering calls. This can introduce bias into the sample.

Additionally, the fact that the pollster asks initial questions to determine if a person is likely to vote in the upcoming election can also introduce bias. By excluding individuals who are not likely to vote, the sample may not accurately represent the entire population.