If Walmart's survey questions are biased in wording, which type of bias occurs?

When survey questions are biased in wording, the type of bias that occurs is referred to as measurement error. Measurement error arises when the questions do not accurately capture the true opinions or behaviors of the survey respondents. This bias can stem from leading questions, ambiguous wording, or framing that influences how respondents interpret and answer the questions. As a result, the data collected may not reflect the actual views or experiences of the participants, leading to conclusions that can be misleading or incorrect.

In contrast, the other options relate to different types of biases: non-response bias occurs when certain individuals do not respond to the survey, potentially skewing results; sampling bias results from the sample not being representative of the population due to the way participants are selected; and selection bias arises when the method of selecting participants leads to an unrepresentative sample, which is distinct from the issue of biased question wording affecting responses.