D

Explanation:
The correct answer is D, Outlier bias. Presenting data using averages can hide the impact of anomalies and outliers, potentially leading users to draw incorrect conclusions. In this case, the market research survey uses averages to suggest better results than actually found, which is a form of outlier bias because it masks the true variability or extreme values in the data. Confirmation bias (A) involves favoring information that confirms existing beliefs, reporting bias (B) relates to selective reporting of results, and selection bias (C) occurs when the sample is not representative. Outlier bias is the most fitting as it directly addresses the manipulation of averages to obscure outliers.