Chebyshev's inequality says: P(|X-μ| ≥ kσ) ≤ 1/k²

Ever wonder how likely it is to deviate from the average?

Image: Pavel Kazachkov from Moscow, Russia, CC BY 2.0, via Wikimedia Commons

Chebyshev's inequality says: P(|X-μ| ≥ kσ) ≤ 1/k²

Ever wonder how likely it is to deviate from the average?

Imagine you're at a carnival, and there's a game where you roll a die. The prize is awarded if you roll a number more than 2 standard deviations away from the average roll.

Chebyshev's inequality tells us that even without knowing the exact distribution of the rolls, we can say there's a certain chance of winning the prize if we roll a number that's unusually high or low compared to the average.

Example

If the average roll is 3.5 and the standard deviation is 1, rolling a 7 or lower is an unusual outcome.

Remember this

Chebyshev's inequality helps us understand the likelihood of rare events happening in random situations.

Related concepts

Swipe through 100 ML concepts daily

Open Pocket Polymath