Page 3 - Xl-CH-16-LESSON NOTE
P. 3

COMPLEMENTARY EVENT


                       Corresponding to every event an associated to a random experiment there exist an
                                                                                                         
                       event called complementary event to A. It is also called “not A” denoted by A′ or   
                       MUTUALLY EXCLUSIVE EVENT:


                       The events     and     associated with an experiment said to be mutually exclusive iff
                                   1
                                          2
                       they do not occur simultaneously

                       i.e., iff     ∩     = ∅
                                    2
                               1
                       MUTUALLY EXCLUSIVE AND EXHAUSTIVE EVENTS :


                       Let S be a sample space associated with a random experiment. The events     ,     ,…,  
                                                                                                             
                                                                                                 1
                                                                                                     2
                       are said to be a form a set of manually exclusive and exhaustive system of events if
                           (i)        ∪     …… ∪     = S i.e. , events     ,     , ………. ,     are exhaustive events
                                                                    1
                                                                         2
                                                    
                                    1
                                         2
                                                                                      
                           (ii)       ∩     = ∅ for i not equal j i.e. , events     ,     , ………. ,     are mutually
                                          
                                                                                            
                                                                          1
                                                                               2
                                      
                                  exclusive , i.e. .., no two can occur simultaneously .
                       AXIOMATIC APPROACH TO PROBABILITY:
                       Let S be the sample space and E be an event.
                       (i)    P(∅) = 0
                       (ii)   P(S) = 1
                       (iii)  0≤   (  ) ≤ 1


                       Mathematical Definitation of probability:

                       Let S be the sample space and E be an event.


                                  (  )                                                         
                           P(E) =     =
                                  (  )                                                                

                       Example :1  A coin is tossed two times. What is the probability of both are tail.


                       Ans : A coin is tossed two times.

                                S = {TT, TH, HT, HH} ⇒   (  ) =  4

                              E = Event of getting both are tail. ⇒   (  ) =  1
   1   2   3   4