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Unit 27: Additive and Multiplicative Law of Probability


                                                                                                     Notes
                                             1
                                             2
                                          =    1  = 1
                                            1 −
                                               2
            Thus it is certain that a head will ultimately appear if the coin is tossed indefinitely. The result holds
            even if the coin is biased.
            Incidentally, it is verified that P (S) = 1.
            Note: In this example we find that though the number of points are infinite, these can be arranged
            according to the sequence of natural numbers (such that there is one-one correspondence between
            the natural numbers and the sample points); such an infinity of numbers is called denumerable infinity
            (or countable infinity) of numbers.
            Discrete Sample space

            A sample space that consists of a finite number of sample points or a denumerably infinite number of
            sample points is called a discrete sample space.
            Self-Assessment

            1. Tick the Correct Answer:
               (i) Addition theorem states that if two events A and B are mutually exclusive, the probability of
                  occurrence of either A or B is given by:
                  (a) P (A) + P (B)                   (b) P (A) × P (B)
                  (c) P (A) – P (B)                   (d) P (A) × (B) – P (AB)
               (ii) If two events A and B are independent, the probability that they will both occur is given by:
                  (a) P (A) + P (B)                   (b) P (A) × P (B)
                  (c) P (A) – P (B)                   (d) P (A) × (B) + P (AB)
              (iii) If two events A and B are dependent, the conditional probability of B given A, i.e., P (B|A) is
                  calculated as:
                  (a) P (AB)|P (B)                    (b) P (A)|P (B)
                  (c) P (AB)|P (A)                    (d) P (A)|P (AB)
              (iv) If two events A and B are dependent, the conditional probability of A given B, i.e., P (A|B) is
                  calculated as:
                  (a) P (B|A) (AB)                    (b) P (B)|P (A)
                  (c) P (AB)|P (A)                    (d) P (AB)|P (B)

               (v)  5 C  is equal to
                    2
                  (a)20                               (b)10
                  (c)30                               (d) 100
            27.3 Summary

            •   It is easier to compute the probability of an event from known probabilities of other events.
                This can be well observed if the given event can be represented as the union of two other
                events or as the complement of an event.
            •   The probability of the conditional event is called conditional probability. For a conditional event,
                instead of the whole sample space we have only the sample points comprising of the enent A,
                i.e. the 6 sample points (5, 1), (5, 2), (5, 3), (5, 4), (5, 5) and (5, 6), and the conditional probability





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