Outliers are data points that differ significantly from other observations and can skew analysis results, leading to inaccurate conclusions. The main reason to remove them is when their values vary so significantly from the rest of the data that they distort statistical calculations or trends.
CompTIA Data+ Reference:
CompTIA Data+ Study Guide (Exam DA0-001), Chapter 5: Data Cleaning and Preparation, Section “Identifying and Handling Outliers”, Official CompTIA CertMaster Learn for Data+, Module 5.1 “Data Quality Issues: Outliers”.
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