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International Journal of Applied Research
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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

IMPACT FACTOR (RJIF): 8.4

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

Expected value: A study

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  |  503 Views  94 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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