The Continuous Mapping Theorem states that if a sequence of random variables converges in distribution to a limit, then any continuous function applied to those random variables will also converge in distribution to the continuous function applied to the limit. This theorem is important because it allows us to analyze the behavior of transformed random variables, linking the properties of convergence and continuity.
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