AP Statistics 3.4 Potential Problems with Sampling - MCQs - Exam Style Questions
Question
(B) There could be serious non-response bias.
(C) The sample size was too small.
(D) There was no random assignment.
(E) The sampling design did not incorporate stratification.
▶️ Answer/Explanation
1. Analyze the Survey Method:
– A survey was sent to \(5,000\) randomly selected mothers.
– Only \(1,000\) mothers completed and returned the survey.
– This is a response rate of only \(20\%\) (\(\frac{1000}{5000}\)).
2. Identify the Potential Bias:
With such a low response rate (\(80\%\) did not respond), there is a very high risk of **non-response bias**. The \(1,000\) mothers who chose to respond may have systematically different feeding practices or opinions compared to the \(4,000\) who did not respond. Therefore, the sample of \(1,000\) is likely not representative of the intended population.
✅ Answer: (B)
Question
(B) The behavior of the interviewer leads people to respond in a certain way.
(C) People might be uncomfortable with the survey questions and, as a result, might not always respond to those questions truthfully.
(D) Many of the people selected to participate in the survey who do not respond might have opinions different from those who do respond.
(E) People without telephones are overlooked in the sampling procedure used to determine who is surveyed.
▶️ Answer/Explanation
1. Define Nonresponse Bias:
Nonresponse bias occurs when individuals chosen for a sample are unable or unwilling to participate, and their views are systematically different from those who do participate. This skews the results because the responding group is not representative of the intended sample.
2. Analyze the Options:
– (A) is response bias (wording of question).
– (B) is response bias (interviewer effect).
– (C) is response bias (truthfulness).
– (E) is undercoverage bias.
– (D) perfectly describes the situation where the opinions of non-responders differ from responders, which is the definition of nonresponse bias.
✅ Answer: (D)