Statistical Methods for Data Science
Kurtosis is a statistical measure that describes the shape of a probability distribution's tails in relation to its overall shape. It provides insights into the presence of outliers and the extremity of data points, influencing how data is interpreted in the context of central tendency and dispersion. A distribution with high kurtosis indicates heavy tails and potentially more outliers, while low kurtosis suggests lighter tails and fewer outliers.
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