Convergence in probability is a concept in probability theory that describes the behavior of a sequence of random variables, where the probability that these random variables deviate from a certain value becomes smaller as the number of trials increases. This means that as you observe more outcomes, the random variable is likely to be close to the expected value or limit. This concept is essential for understanding how random variables behave in large samples and is closely linked to probability distributions.
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