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  1. WKBN Prame says:

    Are there different conventions on whisker length (i.e. IQRx1.5, IQRx3, up to 98th percentile). Does outlier identification differ under these different situations?

    1. IQRX1.5 is one of the methods to identify outliers in a dataset. There can be only 4 Quartiles in a dataset. Q1-Q4, Even you find data 98th percentile of a dataset that will fall under Q4. The upper quartile(Q3) is the number dividing the third and fourth quartile.
      So, any data point beyond Q3+1.5⋅IQR is an outlier on a higher side.

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