👉 Chebyshev's theorem is a fundamental result in statistics and probability theory that establishes bounds on the distribution of sums of independent random variables. It states that if X1, ..., Xn are independent random variables with finite variances (i.e., their expected values are equal), then P(|X1 + ... + Xn| > r) ≤ 2 / n, where r is a positive constant called the Chebyshev's inequality constant. This theorem has applications in various