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If a scientist doesn't collect enough data, their conclusions may be unreliable or invalid, leading to incorrect assumptions about their research question. Insufficient data can result in a lack of statistical power, making it difficult to detect true effects or relationships. Additionally, this may hinder the reproducibility of results, undermining the credibility of the study and potentially misguiding further research or practical applications.

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2mo ago

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