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the probabilities of certain outcomes or how likely the event still can happen. The

               best example for understanding probability is flipping a coin when there are two
               possible  outcomes,  whether  heads  or  tails.  There  are  no  other  possibilities  exist.

               Probability of an outcomes will help risk manager in evaluate each risk. There are

               two types of probabilities which is mutually exclusive events and compound or joint
               outcomes.


               4.3.1  Mutually Exclusive Events


               Mutually exclusive is an events that cannot occur at the same time. As an example,
               event A and event B can occur at any one incident but cannot occur together at

               the same time and both of the events do not show any outcomes. A factory cannot

               both burn and not burn at the same time. Probability of the factory will either burn
               or not burn is 1 in mutually exclusive events, because one of the events is certain

               to occur. According to the figure below, there are two separate circle which shows
               that no overlap between both events.




                                         EVENT A                 EVENT B

                                       Factory burn             Factory not
                                                                   burn
                                          (0.55)
                                                                   (0.45)







               If the probability of a factory on fire is 0.55, the probability of factory will not catch
               fire is 1 - 0.55 = 0.45. Thus, if two events are mutually exclusive, then the probability

               of either occurring is:


                                               (  ) = () + ()


               Another example is fire occuring at factory during three different shifts.









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