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               168     CHAPTER 5 JOINT PROBABILITY DISTRIBUTIONS


                                 The requested probability is  P(X 
  1000, X 
  1000, X 
  1000, X 
  1000), which
                                                                       2
                                                             1
                                                                                            4
                                                                                  3
                                 equals the multiple integral of  f  1x , x , x , x 2  over the region x 1  
 1000, x 
 1000,
                                                           X 1 X 2 X 3 X 4    1  2  3  4           2
                                 x 
 1000, x 
 1000. The joint probability density function can be written as a product of
                                           4
                                  3
                                 exponential functions, and each integral is the simple integral of an exponential function.
                                 Therefore,
                                       P1X 
 1000, X 
 1000, X 
 1000, X 
 10002   e  1 2 1.5 3    0.00055
                                          1
                                                                       4
                                                              3
                                                    2
                                    Suppose that the joint probability density function of several continuous random vari-
                                 ables is a constant, say c over a region R (and zero elsewhere). In this special case,

                                              f X 1 X 2 p  X p  1x , x , p , x 2 dx  dx p dx   c   1volume of region R2   1
                                         p

                                                              p
                                                                      2
                                                                  1
                                                         2
                                                      1
                                                                           p

                                 by property (2) of Equation 5-22. Therefore, c   1	volume  (R). Furthermore, by property (3)
                                 of Equation 5-22.
                                           P31X 1 , X 2 , p , X p 2   B4
                                               p   f     1x 1 , x 2 , p , x p 2 dx 1  dx 2 p dx p   c   volume 1B ¨ R2
                                                X 1 X 2 p   X p
                                             B
                                           volume 1B ¨ R2

                                             volume 1R2
                                 When the joint probability density function is constant, the probability that the random vari-
                                 ables assume a value in the region B is just the ratio of the volume of the region B ¨ R  to the
                                 volume of the region R for which the probability is positive.


               EXAMPLE 5-24      Suppose the joint probability density function of the continuous random variables X and Y is
                                                                                               2
                                                     2
                                                                                          2
                                                          2
                                 constant over the region x   y   4.  Determine the probability that X   Y   1.
                                    The region that receives positive probability is a circle of radius 2. Therefore, the area of
                                                                  2
                                                                       2
                                 this region is 4 . The area of the region x   y   1  is  . Consequently, the requested prob-
                                 ability is  	14 2   1	4.
                       Definition
                                    If the joint probability density function of continuous random variables X ,  X , p , X p
                                                                                                2
                                                                                             1
                                    is f     1x , x p , x 2  the marginal probability density function of X i  is
                                                 2
                                                       p
                                               1
                                       X 1 X 2 p X p
                                       f 1x 2     p   f      1x , x , p , x 2 dx  dx p dx   dx  p dx  (5-23)
                                       X i  i        X 1 X 2 p X p   1  2  p  1  2  i 1  i 1   p
                                                R x i
                                    where  R  denotes the set of all points in the range of  X , X , p , X p  for which
                                                                                     1
                                                                                        2
                                           x i
                                         x .
                                     X i  i
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