AP Statistics Practice Test 2026 – All-in-One Prep Guide to Master Your Exam!

The conclusion that the results are likely to be biased is supported by the low response rate of one-third of the recipients. A lower response rate can lead to concerns about who chose to respond compared to those who did not. If the respondents share certain characteristics or opinions that are not reflective of the entire group of recipients, the results might not accurately represent the sentiments of all potential buyers.

When a significant portion of the recipients does not respond, it raises important questions about the validity of the findings. For instance, it might indicate that only a specific segment of the population (perhaps those more motivated or interested in the dealership's offerings) chose to give feedback, potentially skewing the overall insights obtained from the survey.

Additionally, strong survey design typically promotes high response rates using strategies like follow-ups or incentives for participation. The fact that only one-third responded suggests that the survey may not have been engaging or relevant enough, indicating potential flaws in its design. Thus, concluding that the survey results are likely to be biased is a sound inference based on the provided context.