What are the causes of outliers in data?
Outliers can be caused by various factors, including measurement errors, data entry mistakes, or genuine variability in the data.
Can you give me examples of each cause?
Sure! Measurement errors might occur if a scale is improperly calibrated. Data entry mistakes could happen if someone accidentally types a wrong number. Genuine variability might be seen in cases like income data where some individuals earn significantly more than others.
How do outliers affect data analysis?
Outliers can skew results, affect statistical measures like mean and standard deviation, and lead to misleading conclusions.
What methods can I use to handle outliers?
Common methods include removing outliers, transforming data, or using robust statistical techniques that are less affected by them.
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