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Z-Score: A Handy Tool for Detecting Outliers in Data - MSN
Outlier Detection The z-score is used to identify outliers in a dataset. Any data point with a z-score greater than 3 or less than -3 is considered an outlier.
Discover what quartiles are in statistics, how to calculate them, and see examples to help you interpret data more ...
Data analytics deals with making observations with various data sets, and trying to make sense of the data. When dealing with very large data sets, automated tools must be used to find patterns and ...
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