Which option best prevents misinterpretation when presenting data?

• A. Rely on anecdotal impressions rather than data.
• B. Avoid explaining limitations and assumptions.
• C. Present data with accurate scales and cite sources.
• D. Cherry-pick results to support your conclusion.

Answer: (C)

Presenting data clearly to prevent misinterpretation hinges on accurate scales and transparent sourcing. When you use accurate, properly scaled axes, readers can compare values without being misled by the graph’s layout or magnification. Consistent units and starting axes (like zero where appropriate) help convey true differences in the data instead of exaggerating them. Citing sources adds transparency, letting others verify methods and values, which builds trust and reduces doubt about how the data were collected or analyzed.

Relying on anecdotal impressions isn’t backed by data, so it cannot reliably support conclusions. Not explaining limitations leaves readers unaware of uncertainties or assumptions that could alter interpretation. Cherry-picking results shows only a partial picture and biases the takeaway.