Page 42 - Applied statistics and probability for engineers
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20   Chapter 2/Probability


                    Transmission
                                            Automatic                     Manual

                    Sunroof
                                 Yes       No                             Yes       No

                    Stereo


                         1    2   3          1    2   3           1    2   3          1    2   3
                    Color





             FIGURE 2-6  Tree diagram for different types of vehicles with 48 outcomes in the sample space.



               Example 2-5     Automobile Colors  Consider an extension of the automobile manufacturer illustration in
                               the previous example in which another vehicle option is the interior color. There are four
               choices of interior color: red, black, blue, or brown. However,
                 r  With a red exterior, only a black or red interior can be chosen.
                 r  With a white exterior, any interior color can be chosen.
                 r  With a blue exterior, only a black, red, or blue interior can be chosen.
                 r  With a brown exterior, only a brown interior can be chosen.
                 In Fig. 2-6, there are 12 vehicle types with each exterior color, but the number of interior color choices depends on
               the exterior color. As shown in Fig. 2-7, the tree diagram can be extended to show that there are 120 different vehicle
               types in the sample space.
                                   Exterior color  Red       White      Blue       Brown

                                   Interior color  Black  Red
                                               12 3 2 = 24  12 3 4 = 48  12 3 3 = 36  12 3 1 = 12
                                                        24 + 48 + 36 + 12 = 120 vehicle types
               FIGURE 2-7  Tree diagram for different types of vehicles with interior colors




               2-1.3  EVENTS
                                   Often we are interested in a collection of related outcomes from a random experiment. Related
                                   outcomes can be described by subsets of the sample space, and set operations can also be applied.
                            Event
                                      An event is a subset of the sample space of a random experiment.


                                     We can also be interested in describing new events from combinations of existing events.
                                   Because events are subsets, we can use basic set operations such as unions, intersections, and
                                   complements to form other events of interest. Some of the basic set operations are summarized
                                   here in terms of events:
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