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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An outlier.
An outlier
No. The data set will remain the data set: they are the observations that are recorded.
There cannot be an outlier in a dataset that comprises only one number!
The mean is changed.