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There is no single definition of an outlier, but they are observations that are way out of line in comparison to other observations - either too small or too large.

One way is to first find the inter-quartile range (IQR). Now multiply this by 1.5 and add it to the upper quartile and subtract it from the lower one. Any point beyond these values is an outlier.

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12y ago

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Q: How do you detect outliers?
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