Distribution Function 2


Distribution Function 2 :

Also called: probability distribution function: A function F(x) yielding the probability that a stated random variable will assume some value less than or equal to any arbitrary number x. By definition, the distribution function is identically zero for all values of x below the least admissible value of the random variable, and identically unity for all values of x below the least admissible value of the random variable, and identically unity for all values of x equal to or greater than the greatest admissible value of the random variable. Moreover, F(x2) >F(xt) whenever . x2> xx. Sometimes, for the sake of clarity, the distribution function is called the cumulative distribution function. Compare probability density function

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