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Unit 27: Additive and Multiplicative Law of Probability


            Similarly                                                                                Notes

                                     B= (   B ∪  )A ∩  ( A ∩  B )


            ∴                     P (B) =  (  PA  )  ( ∩  ∩ B + PA  B )                ... (b)

            The events  (  B  and ( )A ∩  B  being mutually exclusive. Thus, from (a) and (b), one gets
                                     ) A ∩
                                                        )
                            P (A) + P (B) =  (  PA  )  ( ∩  ∩ B + PA  B +P (  )A  ( ∩  ∩ B + P  B ) A  ... (c)
            Now the last three terms on R.H.S. of (c), i.e.,  (  ) +PA  ∩ B  )  +  P ( A  ∩B  B )  represent the probability
                                                        ( ∩
                                              PA
                                                              )
            of occurrence of the events A or B or both A and B, i.e.,  (  PA ∪ B . Thus, replacing these three terms
            by  (  PA ∪ B , equation (c) can be written as
                     )
                            P (A) + P (B) =  (  PA ∩  )  P (B +  B )A ∪

                                (
                                     )
            or                PA ∪  B = P (A) + P (B) –  (  PA ∩  B )                 ... (d)
            The rule in (d) is called the addition of rule probability.
            If A and B are mutually exclusive,  (  PA ∩ B  = 0 and the addition rule of probability becomes
                                              )
                                     )
                                (
                              PA ∪  B = P (A) + P (B)                                  ... (e)
            Example 1:  What is the probability of getting an odd number in tossing a die ?
            Solution:   There are three odd numbers on a die, i.e., 1, 3 and 5. Let A, B and C be the respective
                        events of getting 1, 3 and 5. Thus, P (A) = 1/6, P (B) = 1/6 and P (C) = 1/6. Since A, B
                        and C are mutually exclusive therefore

                                                        1   1   1   3   1
                        P (A or B or C) = P (A) + P (B) + P (C) =    +    +    =    =   .
                                                        6   6   6   6   2
            Example 2:  An urn contains 4 white and 2 red balls. Two balls are drawn randomly with
                        replacement. Find the probability that
                        (i)    both balls are white
                        (ii)   both balls will be of the same colour.
            Solution:   Here total number of balls = 6

                                                     6
                        Two balls can be drawn out of 6 in  C  ways i.e., 15 ways. Let A be the event that
                                                       2
                                                                                   4
                        both balls are white. The number (i) of ways of selecting 2 balls out of 4 is  C  i.e., 6
                                                                                     2
                        ways.
                                                            6
                        ∴            P (A = both balls white) =   15

                                                                             4
                        (ii)  The number of ways of selecting 2 balls out of 4 white balls is   C  = 6 ways
                                                                               2
                                                                           2
                           The number of ways of selecting 2 both out of 2 red balls is  C  = 1 way
                                                                             2
                                                                4 C 2  2 C 2
                           ∴  P (both balls will be of the same colour) =  6 C 2  +  6 C 2



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