Convergence in probability is a form of convergence for sequences of random variables, where a sequence converges to a random variable if for any positive epsilon, the probability that the absolute difference between the sequence and the variable exceeds epsilon approaches zero as the sequence progresses. This type of convergence is crucial in probability theory and statistics as it underpins the Law of Large Numbers and is a weaker form of convergence than almost sure convergence.