What impact might outliers have on an analysis?
- The results might be distorted or overly biased.
- They can cause the conclusions drawn to be skewed to support the original hypothesis.
- They will result in incomplete or non-representative data sets.
- They cause the average and mean values to be more accurate.
Explanation: Outliers in datasets represent extreme or influential data points. Outliers can influence an outcome so care must be taken that the outliers do not overly bias the data.
Related exam: Module 9.3.2 Quiz - Ethics and Bias in Data
