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Most probable number of successes in Bernoulli trials


                                                                                              1
               Example 4.3. The random variable X is distributed as X ∼ Bin(3, ). Evaluate the
                                                                                              2
               probability function f(x) using the binomial recurrence formula.                               ,

               Solution. The probability P(X = 0) may be computed using (4.1) and is

                                                                   1 1     1
                                                  P(X = 0) = C   0      = .
                                                                 3  0  3
                                                                   2 2     8
                                 1
                                   1
               The ratio p/q = / = 1 in this case and so, using the binomial recurrence formula (4.3), we
                                 2  2
               find
                                                                 3 − 0   1    3
                                               P(X = 1) = 1 ×          ×   = ,
                                                                 0 + 1   8    8
                                                                 3 − 1   3    3
                                               P(X = 2) = 1 ×          ×   = ,
                                                                 1 + 1   8    8
                                                                 3 − 2   3    1
                                               P(X = 3) = 1 ×          ×   = ,
                                                                 2 + 1   8    8

               results which may be verified by direct application of (4.1).



                     Most probable number of successes in Bernoulli trials


               Theorem 4.1. The most probable (most likely) number of successes k 0 in n experiments
               of Bernoulli trials satisfies the condition np − q ≤ k 0 ≤ np + p. If np − q is non-integer, then
               there exists only one such value k 0 , but if np − q is integer, then there exist two such value.⋆


               PROOF. We consider

                                                                        n!
                                                    p
                                  P n (k + 1)  C k+1 k+1 n−k−1     (n−k−1)!(k+1)! p  (n − k)p
                                                         q
                                            =    n              =                =           .
                                                                        n!
                                                    k k n−k
                                    P n (k)       C p q               (n−k)!k! q    (k + 1)q
                                                    n
                   Thus, P n (k + 1) > P n (k), if (n − k)p > (k + 1)q, i. e. np − q > k(p + q) = k. Hence
                                            
                                             P n (k + 1) > P n (k), for k < np − q;
                                               P n (k + 1) = P n (k), for k = np − q;                      (4.4)
                                            
                                               P n (k + 1) < P n (k), for k > np − q.

                   This relation means that P n (k) is monotone increasing to a some maximum, if k increase. And after this
               P n (k) is monotone decreasing. We find a point k of maximum. There are two possible cases.


                   1. np − q is non-integer number. Then np − q + 1 = np + p is non-integer too. It means that there exists
                     only one integer number k 0 such that next double inequality is valid np − q < k 0 < np + p.
                     Show that k 0 is most probable number of success, i. e. P n (k) has maximum value at k = k 0 . Indeed, for
                     k 0 − 1 < np − q in view of first relationship (4.4) we have P n (k 0 ) > P n (k 0 − 1), and if k 0 > np − q,
                     then a third relationship (4.4) implies P n (k 0 + 1) < P n (k 0 ). We obtain that P n (k 0 ) > P n (k) for all
                     k ̸= k 0 , i. e. k 0 be most probable number of success.

                   2. np − q is integer number. We put k 1 = np − q. Then k 1 + 1 = np − q + 1 = np + p. Using a second
                     relationship (4.4) we have P n (k 1 + 1) = P n (k 1 ). But k 1 − 1 < np − q and k 1 + 1 > np − q, then
                     first and third relationships (4.4) imply P n (k 1 ) > P n (k 1 − 1) and P n (k 1 + 2) < P n (k 1 + 1). Thus
                     there are two most probable values k = k 1 and k = k 1 + 1 in this case.


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