Page 182 - Applied Statistics And Probability For Engineers
P. 182

c05.qxd  5/13/02  1:49 PM  Page 158 RK UL 6 RK UL 6:Desktop Folder:TEMP WORK:MONTGOMERY:REVISES UPLO D CH114 FIN L:Quark Files:






               158     CHAPTER 5 JOINT PROBABILITY DISTRIBUTIONS


                                                           f  XY (x, y)

                  f  XY (x, y)
                                            y


                                      R
                                                                y
                                                       x           7.80                                x
                                                                                                   3.05
                       Probability that (X, Y) is in the region R is determined  7.70       3.0
                          by the volume of f XY (x, y) over the region R.    7.60   2.95
                  Figure 5-6  Joint probability density function for  Figure 5-7 Joint probability density function for the lengths
                  random variables X and Y.                of different dimensions of an injection-molded part.


                                    At the start of this chapter, the lengths of different dimensions of an injection-molded part
                                 were presented as an example of two random variables. Each length might be modeled by a
                                 normal distribution. However, because the measurements are from the same part, the random
                                 variables are typically not independent. A probability distribution for two normal random vari-
                                 ables that are not independent is important in many applications and it is presented later in this
                                 chapter. If the specifications for X and Y are 2.95 to 3.05 and 7.60 to 7.80 millimeters, respec-
                                 tively, we might be interested in the probability that a part satisfies both specifications; that is,
                                 P12.95   X   3.05, 7.60   Y   7.802.  Suppose that  f XY  1x, y2  is shown in Fig. 5-7. The re-
                                 quired probability is the volume of f 1x, y2  within the specifications. Often a probability such
                                                             XY
                                 as this must be determined from a numerical integration.
               EXAMPLE 5-15      Let the random variable X denote the time until a computer server connects to your machine
                                 (in milliseconds), and let Y denote the time until the server authorizes you as a valid user (in
                                 milliseconds). Each of these random variables measures the wait from a common starting time
                                 and X   Y. Assume that the joint probability density function for X and Y is


                                               f 1x, y2   6   10  6  exp1 0.001x   0.002y2  for x   y
                                               XY
                                 Reasonable assumptions can be used to develop such a distribution, but for now, our focus is
                                 only on the joint probability density function.
                                    The region with nonzero probability is shaded in Fig. 5-8. The property that this joint
                                 probability density function integrates to 1 can be verified by the integral of f XY (x, y) over this
                                 region as follows:


                                               f
                                                               ° 6   10 e
                                                 XY  1x, y2 dy dx          6  0.001x 0.002y  dy¢  dx
                                            
  
             0   x

                                                                            0.002y    0.001x
                                                                    6
                                                             6   10    ° e      dy¢  e     dx
                                                                     0   x
                                                                     
    0.002x
                                                                        e         0.001x
                                                                    6
                                                             6   10    °  0.002  ¢  e   dx
                                                                     0

                                                                        0.003x            1
                                                             0.003  ° e     dx¢   0.003 a 0.003 b   1
                                                                    0
   177   178   179   180   181   182   183   184   185   186   187