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                                                                                      2-3 ADDITION RULES   33


                 2-3   ADDITION RULES

                                   Joint events are generated by applying basic set operations to individual events. Unions of events,
                                   such as A ´ B ; intersections of events, such as A ¨ B ; and complements of events, such as A¿ ,
                                   are commonly of interest. The probability of a joint event can often be determined from the prob-
                                   abilities of the individual events that comprise it. Basic set operations are also sometimes helpful
                                   in determining the probability of a joint event. In this section the focus is on unions of events.


                 EXAMPLE 2-13      Table 2-1 lists the history of 940 wafers in a semiconductor manufacturing process. Suppose
                                   one wafer is selected at random. Let H denote the event that the wafer contains high levels of
                                   contamination. Then, P1H2   358
940 .
                                       Let  C denote the event that the wafer is in the center of a sputtering tool.  Then,
                                   P1C2   626
940. Also, P1H ¨ C2  is the probability that the wafer is from the center of the sput-
                                   tering tool and contains high levels of contamination. Therefore,

                                                                P1H  ¨ C2   112
940

                                       The event H ´ C  is the event that a wafer is from the center of the sputtering tool or
                                   contains high levels of contamination (or both). From the table, P1H  ´ C2   872
940 . An
                                   alternative calculation of P1H  ´ C2  can be obtained as follows. The 112 wafers that comprise
                                   the event H ¨ C  are included once in the calculation of P(H) and again in the calculation of
                                   P(C). Therefore, P1H  ´ C2  can be found to be

                                                 P1H  ´ C2   P1H2   P1C2   P1H  ¨ C2
                                                            358
940   626
940   112
940   872
940

                                       The preceding example illustrates that the probability of A or B is interpreted as P1A ´ B2
                                   and that the following general addition rule applies.




                                                         P1A ´ B2   P1A2   P1B2   P1A   B2            (2-1)




                 EXAMPLE 2-14      The wafers such as those described in Example 2-13 were further classified as either in the
                                   “center’’ or at the “edge’’ of the sputtering tool that was used in manufacturing, and by the
                                   degree of contamination. Table 2-2 shows the proportion of wafers in each category. What is

                                              Table 2-1 Wafers in Semiconductor Manufacturing Classified
                                                       by Contamination and Location

                                                              Location in Sputtering Tool
                                               Contamination       Center        Edge         Total
                                                   Low              514           68          582
                                                   High             112          246          358
                                                   Total            626          314
   45   46   47   48   49   50   51   52   53   54   55