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If two or more distributions are known to have measures of center that are significantly different from each other, then
Their means will be close to each other.
Their individual standard deviations will be small in comparison to the combined standard deviation if all data from the distributions were combined.
Their individual standard deviations will be equal.
The net difference of the means of the distributions will be close to or equal to $0$.
None of the above; researchers will always obtain sample means from each distribution that are significantly different from each other.