Assess learners' understanding of confidence intervals in applied data analysis, including interpretation of interval estimates, computation and role of margin of error, influence of sample size and variability, basic construction (t- and z-based approaches), assumptions required for validity, and common misinterpretations when communicating uncertainty in real-world contexts. Include conceptual reasoning and brief applied interpretation tasks rather than heavy formula derivations.