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How do you detect a outlier in a data set? - Answers

One way is to first find the interquartile range which we call 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 a outlier in a data set? - Answers

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

One way is to first find the interquartile range which we call 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_a_outlier_in_a_data_set

How do you detect a outlier in a data set? - Answers

One way is to first find the interquartile range which we call 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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      One way is to first find the interquartile range which we call 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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