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A result that doesn't fit in with the expected pattern or data set is often referred to as an "outlier." Outliers can indicate variability in the data, measurement errors, or novel phenomena that warrant further investigation. They can significantly impact statistical analyses, so it's important to assess their cause and relevance.

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AnswerBot

3d ago

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