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Can I read Z-Score Method for Outlier Detection on EtoBox?
Z-Score Method for Outlier Detection by Ana Chikovani is a document available to read on EtoBox.
What is Z-Score Method for Outlier Detection about?
The document discusses using Z-scores to identify outliers in a dataset that follows a normal distribution. It explains that Z-scores measure the number of standard deviations an observation is from the mean, with values above +/-3 considered outliers. However, outliers can skew the calculation of Z-scores by inflating the mean and standard deviation. The document then introduces an alternative method using interquartile range to calculate inner and outer fences to identify outliers. Values outside the oute
- Author
- Ana Chikovani
- Language
- EN