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7.2 Probability Theory 457


                                                     Because E ∩ F ={0000, 0001, 0010, 0011, 0100}, we see that p(E ∩ F) = 5/16. Because
                                                     there are eight bit strings of length four that start with a 0, we have p(F) = 8/16 = 1/2.
                                                     Consequently,
                                                                   5/16    5                                                        ▲
                                                        p(E | F) =      =   .
                                                                    1/2    8
                                      EXAMPLE 4      What is the conditional probability that a family with two children has two boys, given they
                                                     have at least one boy? Assume that each of the possibilities BB, BG, GB, and GG is equally
                                                     likely, where B represents a boy and G represents a girl. (Note that BG represents a family with
                                                     an older boy and a younger girl while GB represents a family with an older girl and a younger
                                                     boy.)

                                                     Solution: Let E be the event that a family with two children has two boys, and let F be
                                                     the event that a family with two children has at least one boy. It follows that E ={BB},
                                                     F ={BB, BG, GB}, and E ∩ F ={BB}. Because the four possibilities are equally likely, it
                                                     follows that p(F) = 3/4 and p(E ∩ F) = 1/4. We conclude that
                                                                   p(E ∩ F)    1/4   1                                              ▲
                                                        p(E | F) =          =      =  .
                                                                     p(F)      3/4   3


                                                     Independence

                                                     Suppose a coin is flipped three times, as described in the introduction to our discussion of
                                                     conditional probability. Does knowing that the first flip comes up tails (event F) alter the
                                                     probability that tails comes up an odd number of times (event E)? In other words, is it the case
                                                     that p(E | F) = p(E)? This equality is valid for the events E and F, because p(E | F) = 1/2
                                                     and p(E) = 1/2. Because this equality holds, we say that E and F are independent events.
                                                     When two events are independent, the occurrence of one of the events gives no information
                                                     about the probability that the other event occurs.
                                                        Because p(E | F) = p(E ∩ F)/p(F), asking whether p(E | F) = p(E) is the same as
                                                     asking whether p(E ∩ F) = p(E)p(F). This leads to Definition 4.


                                   DEFINITION 4       The events E and F are independent if and only if p(E ∩ F) = p(E)p(F).

                                      EXAMPLE 5      Suppose E is the event that a randomly generated bit string of length four begins with a 1
                                                     and F is the event that this bit string contains an even number of 1s. Are E and F independent,
                                                     if the 16 bit strings of length four are equally likely?

                                                     Solution: There are eight bit strings of length four that begin with a one: 1000, 1001, 1010,
                                                     1011, 1100, 1101, 1110, and 1111. There are also eight bit strings of length four that contain
                                                     an even number of ones: 0000, 0011, 0101, 0110, 1001, 1010, 1100, 1111. Because there are
                                                     16 bit strings of length four, it follows that

                                                        p(E) = p(F) = 8/16 = 1/2.
                                                     Because E ∩ F ={1111, 1100, 1010, 1001}, we see that

                                                        p(E ∩ F) = 4/16 = 1/4.
                                                     Because

                                                        p(E ∩ F) = 1/4 = (1/2)(1/2) = p(E)p(F),
                                                     we conclude that E and F are independent.                                      ▲
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