Answer / Pankaj Jaiswal

A common example of a dataset with a non-Gaussian distribution is income data. Income distribution often follows a power law or lognormal distribution, which are both heavy-tailed and skewed. This means they have long tails that contain many outliers (extremely high or low incomes). Other examples include stock market returns, word frequencies in texts, and earthquake magnitudes.

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