Ever wondered how math can predict unlikely events?
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Ever wondered how math can predict unlikely events?
Imagine you're playing a game where you roll a die. You're curious about the chances of rolling a number greater than 6, even though a die only has numbers 1 through 6.
Chebyshev's inequality helps us understand that even though it's impossible to roll a 7 on a standard die, there's still a tiny chance that something unusual happens, like rolling a 6 repeatedly.
Example
Let's say you've rolled a 6 ten times in a row. Chebyshev's inequality would show that this is highly unlikely, but not impossible.
Remember this
Chebyshev's inequality tells us that extremely unlikely events can still occur, even if they're not guaranteed.
Text adapted from Wikipedia, licensed under CC BY-SA 4.0.
Hoeffding's inequality
Hoeffding's inequality bounds tail probability for sums of bounded random variables
Chebyshev's inequality says: P(|X-μ| ≥ kσ) ≤ 1/k²
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Chebyshev's inequality
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