How would you screen for outliers and what should you do if you find one?
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Answer / Rajendra Singh Bisht
Screening for outliers can be done using various statistical methods such as the Z-score method, the IQR (Interquartile Range) method, or visualization techniques like box plots. If an outlier is found, it should be investigated to determine whether it is a genuine error or an anomaly that needs to be addressed before making any decisions based on the data.
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