the impact of outliers

Outliers are data points that differ significantly from the rest of the data. Their presence can skew results, making averages less representative and potentially leading to incorrect conclusions. They can distort analysis, hiding true patterns or trends and affecting the accuracy of predictions. Recognizing and managing outliers is important to ensure decision-making is based on reliable data. In some cases, outliers reveal important insights or errors that need investigation. Overall, outliers can greatly influence data interpretation, highlighting the importance of careful analysis and validation.