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Z-Score: A Handy Tool for Detecting Outliers in DataThis allows for statistical tests that rely on the normal distribution, such as hypothesis testing and estimations of confidence intervals. The z-score is used to identify outliers in a dataset.
Investors use the normal probability distribution of a stock's past returns ... Test scores that are extreme outliers, such as a score of 100 or 0, would be considered long-tail data points ...
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Skewness in Data: What It Is and How to Interpret ItIt can indicate whether or not your data adheres to a normal distribution. It’s okay for your data to have skewness, it can indicate outliers in your data set. If your data demonstrates skewness ...
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