Page 25 - Probability and Statistical Inference
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2   1. Nations of Probability

                                 observed:



                                 Let n  be the number of H’s observed in a sequence of k tosses of the coin while
                                     k
                                 n /k refers to the associated relative frequency of H. For the observed sequence
                                  k
                                 in (1.1.1), the successive frequencies and relative frequencies of H are given in
                                 the accompanying Table 1.1.1. The observed values for n /k empirically pro-
                                                                                 k
                                 vide a sense of what p may be, but admittedly this particular observed sequence
                                 of relative frequencies appears a little unstable. However, as the number of
                                 tosses increases, the oscillations between the successive values of n /k will
                                                                                            k
                                 become less noticeable. Ultimately n /k and p are expected to become indistin-
                                                               k
                                 guishable in the sense that in the long haul n /k will be very close to p. That is,
                                                                      k
                                 our instinct may simply lead us to interpret p as lim (n /k).
                                                                          k → ∞  k
                                         Table 1.1.1. Behavior of the Relative Frequency of the H’s


                                                 k   n     n /k   k    n    n /k
                                                      k     k           k    k
                                                 1   0      0     6     2   1/3
                                                 2   1     1/2    7     3   3/7
                                                 3   1     1/3    8     3   3/8
                                                 4   2     1/2    9     3   1/3
                                                 5   2     2/5   10     4   2/5


                                    A random experiment provides in a natural fashion a list of all possible
                                 outcomes, also referred to as the simple events. These simple events act like
                                 “atoms” in the sense that the experimenter is going to observe only one of these
                                 simple events as a possible outcome when the particular random experiment is
                                 performed. A sample space is merely a set, denoted by S, which enumerates
                                 each and every possible simple event or outcome. Then, a probability scheme is
                                 generated on the subsets of S, including S itself, in a way which mimics the
                                 nature of the random experiment itself. Throughout, we will write P(A) for the
                                 probability of a statement A(⊆ S). A more precise treatment of these topics is
                                 provided in the Section 1.3. Let us look at two simple examples first.
                                    Example 1.1.1 Suppose that we toss a fair coin three times and record
                                 the outcomes observed in the first, second, and third toss respectively from
                                 left to right. Then the possible simple events are  HHH, HHT,
                                 HTH, HTT, THH, THT, TTH or TTT. Thus the sample space is given by
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