Should I remove outliers from my dataset?

I'm analyzing my data, and I noticed some outliers. Should I remove them?

It depends on the context of your analysis. Outliers can skew your results, but they might also represent important variations.

What if those outliers are due to measurement errors?

If they are indeed measurement errors, it's usually best to remove them to avoid misleading conclusions.

How can I identify if an outlier is a measurement error?

You can check for consistency with other data points, review the data collection process, or use statistical tests.

Are there any methods to handle outliers without removing them?

Yes, you can use techniques like transformation, imputation, or robust statistical methods that minimize the impact of outliers.