How do you visually represent statistical uncertainty in a chart?

This tests your ability to communicate statistical nuance beyond simple averages. A strong answer outlines a tiered approach: first, add error bars and state what they represent (e.g., 95% CI); second, propose showing the distribution itself using violin plots or box plots for more detail; finally, mention hypothetical outcome plots (HOPs) as a cutting-edge technique. The primary red flag is suggesting "error bars" without defining what they measure (SD, SE, or CI), which makes the chart ambiguous.