What should you include in your final answer to an LDS data question?

• A. Description of subset, computed statistic(s), interpretation, and data-quality caveats.
• B. Just the computed statistic.
• C. Only a graph.
• D. A narrative unrelated to data.

Answer: (A)

When answering an LDS data question, your final answer should present a complete, data-focused report: describe exactly which subset of data you used, state the statistic(s) you calculated for that subset, interpret what those numbers mean in the context of the question, and note any data-quality caveats. Start by clarifying the subset—specify the group, period, filters, or any conditions applied to select the data. Then report the computed statistic(s)—for example, a mean, median, proportion, rate, or other measure—and keep it tied to that subset. Next, offer a clear interpretation that explains what the statistic indicates about the situation or comparison, not just the number itself. Finally, include caveats about data quality—limitations like small sample size, missing data, potential biases, measurement errors, or changes in data collection—that could affect reliability or generalizability. This combination ensures transparency, supports reproducibility, and demonstrates a careful, evidence-based conclusion. The other options fail because a graph alone lacks explicit numeric results and interpretation, a narrative unrelated to data isn’t evidence-based, and just giving the computed statistic misses context and reliability considerations.