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Statistics



                      Notes         2.   Generalisation of Multiplicative Theorem :

                                         If A, B and C are three events, then
                                                 
                                          P (A B C )   P ( ) ( /A  .P B A ).P C  ( / A   ) B ù û
                                                                   é
                                                                   ë
                                         Similarly, for n events A , A , ...... A , we can write
                                                             1  2     n
                                                                 .P
                                                                                      )   ù
                                          P (A   A    ...    A n ) P A  ( ) (A  2 /A 1 ).P A  3 /  (A   A 2 û
                                                                           é
                                                                           ë
                                             1
                                                                                 1
                                                                1
                                                 2
                                                                                  ... P A n / (A   A   ...    A n 1 û
                                                               é
                                                                                   )ù
                                                               ë
                                                                     1
                                                                         2
                                         Further, if A , A , ...... A  are independent, we have
                                                   1
                                                      2
                                                            n
                                              1 b        A g b g b g
                                          P A   A  ...    n    P A P A  ....  b g.
                                                                   .
                                                                            P A
                                                                               n
                                                                       2
                                                  2
                                                                 1

                                    3.   If A and B are independent, then A and B , A  and B, A  and B are also independent.
                                         We can write  P A B d  i  P A b g b  
                                                                   
                                                                    P A Bg    (by theorem 3)

                                         = P A a f- P A a f.P B a f = P A a f 1- P B a f = P A a f.P B d i, which shows that  A  and  B are
                                         independent. The other results can also be shown in a similar way.
                                    4.   The probability of occurrence of at least one of the events A , A , ...... A , is given by
                                                                                         1
                                                                                            2
                                                                                                  n
                                                                          1 d
                                                   1 b
                                                P A   A   ....     A g    P A   A   ....     A ni .
                                                                    1
                                                                 n
                                                       2
                                                                              2
                                         If A , A , ...... A  are independent then their compliments will also be independent, therefore,
                                            1  2    n
                                         the above result can be modified as
                                                   1 b
                                                                            P A  ....  d
                                                P A   A   ....     A g   P A d  1i d  2i  P A ni .
                                                                    1
                                                                            .
                                                                 n
                                                       2
                                    Pair-wise and Mutual Independence
                                    Three events A, B and C are said to be mutually independent if the following conditions are
                                    simultaneously satisfied :
                                              (A   ) B   P ( ) ( ), A  .P B  P (B C   )  P ( ) ( ), B  .P C  P (A C   )  P A  .P C
                                                                                       ( ) ( )
                                         P
                                                and P (A   C )   P A  .P B  .P C
                                                         B
                                                                ( ) ( ) ( ) .
                                    If the last condition is not satisfied, the events are said to be pair-wise independent.
                                    From the above we note that mutually independent events will always be pair-wise independent
                                    but not vice-versa.
                                           Example 27:  Among 1,000 applicants for  admission to M.A. economics course in  a
                                    University, 600 were  economics graduates  and 400  were non-economics graduates; 30%  of
                                    economics graduate applicants and 5% of non-economics graduate applicants obtained admission.
                                    If an applicant selected at random is found to have been given admission, what is the probability
                                    that he/she is an economics graduate?
                                    Solution.
                                    Let A be the event that the applicant selected at random is an economics graduate and B be the
                                    event that he/she is given admission.
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