| 释义 |
Chebyshev's inequality
Chebyshev's inequality (ˈtʃɛbɪˌʃɒfs) n (Statistics) statistics the fundamental theorem that the probability that a random variable differs from its mean by more than k standard deviations is less than or equal to 1/k2[named after P. L. Chebyshev (1821–94), Russian mathematician]Chebyshev's inequality
Chebyshev's inequality[′cheb·ə·shəfs ‚in·i′kwäl·əd·ē] (statistics) Given a nonnegative random variable ƒ(x), and k > 0, the probability that ƒ(x) ≥ k is less than or equal to the expected value of ƒ divided by k. |