What should you include to indicate limitations in your LDS answer?

• A. Limitations of data sources and potential bias.
• B. Assume all data are perfect.
• C. Ignore limitations.
• D. Only numerical results.

Answer: (A)

When presenting a data analysis, you must show how data quality and collection affect what you can conclude. Include limitations of data sources and potential bias because this shows you understand how the information might be imperfect and how that could change your results. Describe where the data come from, possible biases (such as sampling bias or non-response bias), any missing data, measurement errors, and issues with comparability across sources or time periods. Explain how these limitations could influence the findings—for example, they might distort trends, affect comparisons, or limit generalization—and mention how you would check robustness or convey uncertainty, like giving ranges or noting assumptions. The other options don’t fit because assuming data are perfect, ignoring limitations, or reporting only numerical results skips essential context about data quality and how it could shape conclusions.