Which survey is most likely affected by bias? a survey of teenagers about their favorite colors a survey of students about vacation policies in a school district a survey of supermarket shoppers about products they would like to see added a survey of bike riders on whether they wear helmets

To determine which survey is most likely affected by bias, we need to analyze each option based on the potential for bias in the sample population and the nature of the questions being asked. 1. **A survey of teenagers about their favorite colors**: This survey is likely to have a diverse range of responses since color preference is subjective and not influenced by external factors. However, it may be biased if the sample is not representative of all teenagers (e.g., only surveying a specific group). 2. **A survey of students about vacation policies in a school district**: This survey could be biased if it only includes students who are particularly interested in the topic or if it excludes certain demographics (e.g., students from different grades or backgrounds). However, students may have varying opinions based on their experiences. 3. **A survey of supermarket shoppers about products they would like to see added**: This survey could be biased if it only includes shoppers who frequent certain stores or if it does not consider the preferences of a broader customer base. The responses may reflect the interests of a specific group rather than the general population. 4. **A survey of bike riders on whether they wear helmets**: This survey is likely to be biased because it only includes individuals who ride bikes. Those who do not ride bikes will not be represented, and the responses may reflect a skewed perspective based on the habits of bike riders, who may have different attitudes towards helmet use compared to non-riders. Considering these analyses, the survey most likely affected by bias is: **A survey of bike riders on whether they wear helmets.** This is because it only includes a specific group (bike riders) and does not account for the opinions of non-riders, which could lead to a biased understanding of helmet usage in the general population.