A heavy-tailed distribution is a type of distribution with a long tail. It is common in situations where the data contains a lot of outliers.
Outliers can be problematic because they can distort the shape of the distribution, which can make it difficult to draw conclusions about the underlying pattern.
When data contain a lot of outliers, it is often best to use a different type of distribution, such as a probability distribution, to analyze the data.
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