Markov's Inequality - Statement

Statement

If X is any random variable and a > 0, then

In the language of measure theory, Markov's inequality states that if (X, Σ, μ) is a measure space, ƒ is a measurable extended real-valued function, and, then

(This measure theoretic definition may sometimes be referred to as Chebyshev's inequality .)

Read more about this topic:  Markov's Inequality

Famous quotes containing the word statement:

    The force of truth that a statement imparts, then, its prominence among the hordes of recorded observations that I may optionally apply to my own life, depends, in addition to the sense that it is argumentatively defensible, on the sense that someone like me, and someone I like, whose voice is audible and who is at least notionally in the same room with me, does or can possibly hold it to be compellingly true.
    Nicholson Baker (b. 1957)

    Truth is that concordance of an abstract statement with the ideal limit towards which endless investigation would tend to bring scientific belief, which concordance the abstract statement may possess by virtue of the confession of its inaccuracy and one-sidedness, and this confession is an essential ingredient of truth.
    Charles Sanders Peirce (1839–1914)

    If we do take statements to be the primary bearers of truth, there seems to be a very simple answer to the question, what is it for them to be true: for a statement to be true is for things to be as they are stated to be.
    —J.L. (John Langshaw)