### Laguerre-Samuelson Inequality

Chebychev’s Theorem gives bounds on how spread out a probability distribution can be from the mean, in terms of the standard deviation. More precisely, if \(X\) is a random variable with mean \(\mu\) and standard deviation \(\sigma\), then \[
P(|X - ... [Read more...]