In short
Applying Phase 4's outlier detection with a clear action plan — investigate, cap, remove, or keep and flag — and always documenting the decision, since outlier handling silently changes your conclusions.
How to learn this
- 1Take a dataset with known outliers and decide + justify a handling strategy for each.
- 2Practice capping (winsorizing) values instead of just deleting them, as an alternative.
- 3Re-run a summary statistic before and after outlier handling to see the impact.
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