Jacob Bernoulli, Binomial Distribution, Probability, Central Limit Theorem, Deep Dives.
experiment. The constraints of identical distribution, and even independence of the random variables that make up the random sample were eventually relaxed. The proof was greatly simplified using Markov and Chebyshev’s inequalities. Today, the WLLN says simply the following: If X_1, X_2, …, X_n are