Theoremintro
Chebyshev's inequality
Also called Chebyshev inequality.
P(|X - E[X]| >= a) <= Var(X)/a^2, obtained by applying Markov to the squared deviation.
P(|X - E[X]| >= a) <= Var(X)/a^2, obtained by applying Markov to the squared deviation.
About this page
The build computes these levels from the evidence in the repository. Each row says what the next level needs. Read what the levels mean.
| Ladder | Level | What the next level needs |
|---|---|---|
| Human proof | H0 no proof |
|
| Lean | L0 no Lean part |
|
| Visual | V0 none |
|
| Writing | W0 stub |
|
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