What are outliers and why are they important?
An example of an AI chatbot conversation about understanding outliers in data analysis.
What are outliers in data?
Outliers are data points that differ significantly from other observations. They can indicate variability or errors.
Why are outliers important in data analysis?
Outliers can skew results and affect statistical analyses, so identifying them helps ensure accurate conclusions.
How can I detect outliers in my dataset?
Common methods include using statistical tests, visualizations like box plots, or calculating z-scores.
What should I do if I find outliers?
You can investigate their cause, remove them if they're errors, or analyze them separately if they're valid.
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