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Choosing a non-uniform distribution can be better than a uniform distribution when the data closely follows real-world scenarios or when certain values are more likely to occur than others. Non-uniform distributions can provide a better representation of probability in many practical situations, allowing for more accurate modeling and analysis.

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1y ago

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