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In general, one would expect to find that distributions often follow a normal pattern, where data points cluster around a central mean with symmetrical tails on either side. This trend suggests that most observations fall close to the average, while fewer observations occur at the extremes. Additionally, distributions may exhibit skewness, indicating that data is not evenly spread, which can reveal insights about underlying phenomena. Overall, understanding the distribution helps identify patterns and make predictions about future occurrences.

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