Which practice helps prevent misinterpretation of data in printed educational materials?

• A. Show uncertainty or limitations
• B. Present only favorable results
• C. Omit axis labels
• D. Cherry-pick data

Answer: (A)

Communicating data with clear limits helps prevent readers from drawing incorrect conclusions. Showing uncertainty or limitations makes it explicit that results are estimates and that reliability depends on factors like sample size, variability, and potential measurement error. This transparency lets readers judge how strongly the findings support a claim and where caution is needed, which reduces the chance of overinterpreting the data.

If only favorable results are shown, the material creates a biased impression, suggesting effects are stronger or more certain than they actually are. Omitting axis labels removes the scale and units needed to interpret values accurately, which can lead to misreading the magnitude or importance of the results. Cherry-picking data involves selecting pieces that fit a narrative while ignoring contradictory or broader evidence, giving a false sense of consensus.