When would it be appropriate to use 'transformation' as an outlier handling method?
- When the outliers are a result of data duplication
- When the outliers are errors in data collection
- When the outliers are extreme but legitimate data points
- When the outliers do not significantly impact the data analysis
Transformation is appropriate to use as an outlier handling method when the outliers are extreme but legitimate data points that carry valuable information.
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