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Understanding Outliers in Data Analysis by ezra fred is a document available to read on EtoBox.
What is Understanding Outliers in Data Analysis about?
Outliers are extreme values in a dataset that can represent true variations or result from errors. True outliers should be retained, while erroneous outliers must be identified using methods like visual inspection, the IQR method, and z-scores. Contextual knowledge is essential in deciding whether to keep or remove outliers based on their impact on analysis.
- Author
- ezra fred
- Language
- EN