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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

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International Journal of Applied Research

Vol. 5, Issue 1, Part E (2019)

Expected value: A study

Author(s)
Dr. Amaresh Kumar Yadav
Abstract
This article is about the term used in probability theory and statistics. For other uses, see Expected value (disambiguation). In probability theory and statistics, the expected value (or expectation value, or mathematical expectation, or mean, or first moment) of a random variable is the integral of the random variable with respect to its probability measure. For discrete random variables this is equivalent to the probability-weighted sum of the possible values, and for continuous random variables with a density function it is the probability density- weighted integral of the possible values.
Pages: 426-429  |  192 Views  12 Downloads
How to cite this article:
Dr. Amaresh Kumar Yadav. Expected value: A study. Int J Appl Res 2019;5(1):426-429.
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International Journal of Applied Research