Convergence in probability refers to a concept in probability theory where a sequence of random variables becomes increasingly likely to be close to a specific value as the number of trials approaches infinity. This concept is crucial in understanding how sample statistics behave as the sample size grows, linking it closely with the idea that larger samples yield more reliable estimates of population parameters.
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