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An outlier might represent a truly extreme but accurate response rather than an error. For instance, in a university survey where most participants reported having had fewer than $$15$$ sexual partners, a few participants reported extreme scores of $$60$$ or $$70$$. These extreme scores could be honest and accurate estimates rather than intentional exaggerations.

Sexual Partners Survey Outlier Example

In a university survey about the number of sexual partners, most participants report fewer than 15, but a few report extreme scores of 60 or 70. When considering how to handle these outliers, what is an important possibility to keep in mind?

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