probability - Proof explanation - weak law of large numbers - Mathematics Stack Exchange

Let $(X_i)$ be i.i.d. random variables with mean $\mu$ and finite variance. Then $$\dfrac{X_1 + \dots + X_n}{n} \to \mu \text{ weakly }$$ I have the proof here: What I don't understand is, why it

Efficient-market hypothesis - Wikipedia

real analysis - A bound of the $L^p$ norm uning the weak Lebesgue norms. - Mathematics Stack Exchange

Law of Large Numbers Strong and weak, with proofs and exercises

Law of Large Numbers - Definition, Example, How to Use

fourier analysis - Proving Weierstrass' Approximation Theorem

Weak Law of Large Numbers (WLLN). Overview, by Pablo Kowalski Kutz

probability - Question about convergence of a series - need help understanding a proof for the strong law of large numbers - Mathematics Stack Exchange

Weak Law of Large Numbers (WLLN). Overview, by Pablo Kowalski Kutz

L18.4 The Weak Law of Large Numbers

probability - Can we get weakly convergence from the above

Law of large numbers