How should you handle the use of statistics and data to avoid misinterpretation?

• A. Use statistics without explanation
• B. Provide context, explain limitations, avoid cherry-picking, cite sources, and interpret data for readers
• C. Quote data as-is
• D. Ignore limitations of data

Answer: (B)

When you use statistics, the goal is to communicate what the numbers actually show while signaling what they don’t. Providing context helps readers understand the data in the bigger picture—what was measured, who was studied, the time frame, and how the results compare to other groups or conditions. Explaining limitations reveals where uncertainty exists, what assumptions were made, and when conclusions should be cautious. Avoid cherry-picking by presenting a balanced picture, including pertinent data that might challenge a conclusion. Citing sources lets readers check methods and data origins, which builds trust. Interpreting data for readers means translating numbers into clear, practical meaning—highlighting effect sizes and real-world significance rather than relying on numbers alone or on limited summaries.

Using statistics without explanation can leave readers guessing about what the numbers actually imply. Quoting data as-is may mislead if essential context is missing. Ignoring limitations leads to overconfident or overstated claims. This careful, transparent approach reduces misinterpretation and communicates the information honestly.