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How do you detect outliers? - Answers

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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How do you detect outliers? - Answers

https://math.answers.com/math-and-arithmetic/How_do_you_detect_outliers

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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https://math.answers.com/math-and-arithmetic/How_do_you_detect_outliers

How do you detect outliers? - Answers

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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      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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