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probability density; probability density function

 
Statistics Dictionary: probability density; probability density function

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For a continuous random variable X the probability density function f is such that




for all x1<x2. Because, for a continuous random variable, P(X=xj)=0 for any value xj, either or both of the '<' signs in the left-hand side can be replaced with '≤'. If the interval of possible values for X is (a, b), then



It is often convenient to regard the function f as being defined for all real values of x. This can be achieved by taking f(x)=0 for x outside the interval (a, b), so that



This property, and the property that f(x)≥0 for all x, are essential properties of a probability density function. It should be noted that, although f(x) is related to probability, f(x) can exceed 1.

The probability density function is often referred to simply as the probability density. It is related to the cumulative distribution function F by



The probability density function is not necessarily continuous. At a point of discontinuity the value assigned to f(x) is immaterial.



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Statistics Dictionary. A Dictionary of Statistics. Second edition revised. Copyright © Oxford University Press, 2008. All rights reserved.  Read more