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Probability

                                                1.2. Probability



                   In the previous section we discussed Venn diagrams, which are graphical representations of
               the possible outcomes of experiments. We did not, however, give any indication of how likely each
               outcome or event might be when any particular experiment is performed. Most experiments show
               some regularity. By this we mean that the relative frequency of an event is approximately the same
               on each occasion that a set of trials is performed. For example, if we throw a die N times then
               we expect that a six will occur approximately N/6 times (assuming, of course, that the die is not
               biased). The regularity of outcomes allows us to define the probability, P(A), as the expected
               relative frequency of event A in a large number of trials. More quantitatively, if an experiment has
               a total of n S outcomes in the sample space S, and n A of these outcomes correspond to the event
               A, then the probability that event A will occur is

                                                                  n A
                                                         P(A) =      .                                     (2.1)
                                                                  n S


                     Events. Classification of events


               Definition 2.1. Realization of some definite complex of conditions is called a
               trial (or test). A possible result of trial is called an event.



               Definition 2.2. An event that can occur or can not occur in a given trial is
               termed a random event.




               Definition 2.3. An event which can not come in a given trial is called an
               impossible event.



               Definition 2.4. An event which necessarily comes in a given trial is termed a
               certain event.



               Definition 2.5. Events A 1 , A 2 , . . . , A n that can not occur at the same time are
               mutually exclusive or incompatible. Otherwise events are named joint.



               Definition 2.6. Events A 1 , A 2 , . . . , A n are said to be uniquely possible if one of
               them necessarily occurs in a given trial.                                                      ✓


               Definition 2.7. Events A 1 , A 2 , . . . , A n form a total group if they are unique and
               incompatible.                                                                                  ✓



               Definition 2.8. Two events A and A which form a total group are called
               mutually opposite.




               Definition 2.9. We will say that an event B implies an event A if in the given
               trial the occurrence of the event B implies that of the event A.                               ✓


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