Convergence concepts in probability MOC

Khinchin's law

Let $―― 𝑋 𝑛$ denote the sample mean of a random sample of $𝑛$ independent and identically distributed real random variables for each $𝑛 \in ℕ$ . Then $―― 𝑋 𝑛$ converges in probability to the true expectation $𝜇$ as $𝑛 \to \infty$ . #m/thm/prob

Proof

#missing/proof

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