Final answer:
The error in the survey is due to E) sampling bias, as it excluded individuals without a telephone, leading to an unrepresentative sample that affects the accuracy of the survey.
Step-by-step explanation:
The source of error in the telephone survey which did not include anyone who did not have a telephone is due to E) sampling bias.
Sampling bias occurs when certain members of the intended population are less likely to be included in the sample.
Since the survey excluded individuals without a telephone, it failed to give all individuals in the target population an equal chance of being selected.
This results in an unrepresentative sample and reduces the accuracy and reliability of the survey findings.
The design of surveys can impact public opinion results. Issues such as question wording effects, interviewer bias, and response bias can all contribute to inaccuracies. These are sources of measurement error.
Sampling errors also occur when there is a lack of randomness in the selection process, or when the sample does not adequately represent the larger population.