The statistical differences between a survey that includes only those who responded and a perfect survey that would also include those who failed to respond are referred to as:
A) nonresponse errors.
B) random sampling errors.
C) respondent errors.
D) refusal errors.

Question

Quizplus · Accepted Answer

The statistical differences between a survey that includes only those who responded and a perfect survey that would also include those who failed to respond are referred to as nonresponse errors. This is because the potential bias caused by the lack of response from some individuals can lead to inaccuracies in the survey results. Random sampling errors refer to errors that can occur when the sample is not truly representative of the population. Respondent errors and refusal errors can refer to mistakes made by the individual completing the survey, rather than errors in the survey design or administration.

The Statistical Differences Between a Survey That Includes Only Those