When should I keep outliers in data analysis?

When should I keep outliers in data analysis?

You should consider keeping outliers if they provide valuable insights or if they are legitimate data points.

What if the outliers are due to measurement errors?

In that case, it's usually best to remove them, as they can skew your results and lead to incorrect conclusions.

Are there any methods to identify outliers?

Yes, common methods include the Z-score method, IQR method, and visualizations like box plots.

How do I decide if an outlier is significant?

Evaluate the context of the data, the impact on your analysis, and whether the outlier aligns with your research questions.