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If the difference between the means of two distributions is equal to the Mean Absolute Deviation (MAD) for each distribution, this would indicate that the overlap between the two distributions is minimized. As a result, the distributions would likely be more separated, leading to a clearer distinction in their central tendencies. The spread of the data would remain unchanged, but the relative positioning of the distributions would be such that they are farther apart, making it easier to identify differences between the two populations.

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2w ago

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