How does a high kurtosis value in a data set impact the Z-score method for outlier detection?
- It decreases the number of detected outliers
- It does not impact the detection of outliers
- It improves the accuracy of outlier detection
- It increases the number of detected outliers
A high kurtosis value means that the data has heavy tails or outliers. This can impact the Z-score method by increasing the number of detected outliers as Z-score is sensitive to extreme values.
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