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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, most participants report having had fewer than 15 sexual partners, but a few participants report extreme scores of 60 or 70. What does this specific example illustrate about outliers in a dataset?

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