7 SOME IMPORTANT CONTINUOUS DISTRIBUTIONS
Let us turn our attention to some important continuous probability distribu-
tions. Physical quantities such as time, length, area, temperature, pressure, load,
intensity, etc., when they need to be described probabilistically, are modeled by
continuous random variables. A number of important continuous distributions
are introduced in this chapter and, as in Chapter 6, we are also concerned with
the nature and applications of these distributions in science and engineering.
7.1 Uniform Distribution
A continuous random variable X has a uniform distribution over an interval a to
b(b > a) if it is equally likely to take on any value in this interval. The probability
densityfunction(pdf)ofXisconstantoverinterval(a,b)andhastheform
As we see from Figure 7.1(a), it is constant over (a,b), and the height must be
1/(b a) in order that the area under the density function is unity.
The probability distribution function (PD F ) is, on integrating Equation (7.1),
Fundamentals of Probabilityand Statistics for Engineers T. T. Soong 2004 John Wiley & Sons, Ltd
ISBN s: 0-470-86813-9 (H B) 0-470-86814-7 (PB)
fX
x
1
ba
; foraxb;
0 ; elsewhere:
8
<
:
7 : 1
FX
x
0 ; forx<a;
xa
ba
; foraxb;
1 ; forx>b;