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               132     CHAPTER 4 CONTINUOUS RANDOM VARIABLES AND PROBABILITY DISTRIBUTIONS


                                    2.0
                                                               r  λ
                                                              1  1
                                    1.6                       8.3  2
                                                              7.5 3.75


                                    1.2
                                 f (x)

                                    0.8


                                    0.4



                                    0.0
                                      0     2    4    6    8    10    12
                                                      x
                                 Figure 4-26 Gamma probability density functions

                                 for selected values of  and r.


                                 the gamma distribution in which     1	2  and r equals one of the values 1 2, 1, 3 2, 2, p . This
                                 distribution is used extensively in interval estimation and tests of hypotheses that are discussed
                                 in subsequent chapters.


               EXERCISES FOR SECTION 4-10
               4-96.  Calls to a telephone system follow a Poisson distribu-  (b) What is the probability that the time until the third failure
               tion with a mean of five calls per minute.          exceeds 50,000 hours?
               (a) What is the name applied to the distribution and parame-  4-100.  In a data communication system, several messages
                  ter values of the time until the tenth call?  that arrive at a node are bundled into a packet before they
               (b) What is the mean time until the tenth call?  are transmitted over the network. Assume the messages ar-
               (c) What is the mean time between the ninth and tenth calls?  rive at the node according to a Poisson process with    30
               4-97.  Continuation of Exercise 4-96.           messages per minute. Five messages are used to form a
               (a) What is the probability that exactly four calls occur within  packet.
                  one minute?                                  (a) What is the mean time until a packet is formed, that is, un-
               (b) If 10 separate one-minute intervals are chosen, what is the  til five messages arrived at the node?
                  probability that all intervals contain more than two calls?  (b) What is the standard deviation of the time until a packet is
               4-98.  Raw materials are studied for contamination. Suppose  formed?
               that the number of particles of contamination per pound of  (c) What is the probability that a packet is formed in less than
               material is a Poisson random variable with a mean of 0.01 par-  10 seconds?
               ticle per pound.                                (d) What is the probability that a packet is formed in less than
               (a) What is the expected number of pounds of material re-  5 seconds?
                  quired to obtain 15 particles of contamination?  4-101.  Errors caused by contamination on optical disks oc-
               (b) What is the standard deviation of the pounds of materials  cur at the rate of one error every 10 5  bits. Assume the errors
                  required to obtain 15 particles of contamination?  follow a Poisson distribution.
               4-99. The time between failures of a laser in a cytogenics ma-  (a) What is the mean number of bits until five errors occur?
               chine is exponentially distributed with a mean of 25,000 hours.  (b) What is the standard deviation of the number of bits until
               (a) What is the expected time until the second failure?   five errors occur?
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