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               18     CHAPTER 2 PROBABILITY


                                                               Call      1       2       3        4

                                                               Call duration
                                                               Time      0       5       10      15      20
                       Current                                 Call      1       2     Minutes

                                                                                         3
                                                                                                 Call 3 blocked
                                                               Call duration
                                                               Time      0       5       10      15      20
                                  Voltage                                              Minutes
                      Figure 2-3 A closer examination of the system  Figure 2-4 Variation causes disruptions in the system.
                      identifies deviations from the model.


                                 uncontrollable inputs, the same settings for the controllable inputs do not result in identical
                                 outputs every time the system is measured.


                       Definition
                                    An experiment that can result in different outcomes, even though it is repeated in the
                                    same manner every time, is called a random experiment.




                                    For the example of measuring current in a copper wire, our model for the system might
                                 simply be Ohm’s law. Because of uncontrollable inputs, variations in measurements of current
                                 are expected. Ohm’s law might be a suitable approximation. However, if the variations are
                                 large relative to the intended use of the device under study, we might need to extend our model
                                 to include the variation. See Fig. 2-3.
                                    As another example, in the design of a communication system, such as a computer or
                                 voice communication network, the information capacity available to service individuals using
                                 the network is an important design consideration. For voice communication, sufficient
                                 external lines need to be purchased from the phone company to meet the requirements of a
                                 business. Assuming each line can carry only a single conversation, how many lines should be
                                 purchased? If too few lines are purchased, calls can be delayed or lost. The purchase of too
                                 many lines increases costs. Increasingly, design and product development is required to meet
                                 customer requirements at a competitive cost.
                                    In the design of the voice communication system, a model is needed for the number of calls
                                 and the duration of calls. Even knowing that on average, calls occur every five minutes and that
                                 they last five minutes is not sufficient. If calls arrived precisely at five-minute intervals and lasted
                                 for precisely five minutes, one phone line would be sufficient. However, the slightest variation in
                                 call number or duration would result in some calls being blocked by others. See Fig. 2-4. A system
                                 designed without considering variation will be woefully inadequate for practical use. Our model
                                 for the number and duration of calls needs to include variation as an integral component. An
                                 analysis of models including variation is important for the design of the phone system.


               2-1.2  Sample Spaces

                                 To model and analyze a random experiment, we must understand the set of possible out-
                                 comes from the experiment. In this introduction to probability, we make use of the basic
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