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Statistics



                      Notes               Mode is that value of the random variable for which probability is maximum.

                                          If r is mode of a binomial distribution, we have
                                                     P(r - 1)  P(r)  P(r + 1)
                                          Consider the inequality  P(r) ³ P(r + 1)

                                                n   r n r  n     r+ 1 n r 1
                                                       
                                                                     
                                          or     C p q     C r+ 1 p  q
                                                  r
                                                     ! n  r n r          ! n      r+ 1 n r 1
                                                            
                                                                                      
                                          or             p q                   p   q
                                                  ( ! r n r  )!  (r +  1 ) ( ! n r   ) 1 !
                                                  1         1
                                                                               
                                                                        +
                                                                           
                                          or          .q       .p  or  qr q np pr
                                                (n r  )  (r +  ) 1
                                          Solving the above inequality for r, we get
                                                r   (n +  ) 1 p  1                         .... (1)
                                          Similarly, on solving the inequality P(r - 1) £ P(r) for r, we can get

                                                r   (n +  ) 1 p                             .... (2)

                                          Combining inequalities (1) and (2), we get

                                                          
                                                (n +  ) 1 p   1 r  (n+  ) 1 p
                                          Case I. When (n + 1)p is not an integer
                                         When (n + 1)p is not an integer, then (n + 1)p - 1 is also not an integer. Therefore, mode will
                                         be an integer between (n + 1)p - 1 and (n + 1)p or mode will be an integral part of (n + 1)p.
                                         Case II. When (n + 1)p is an integer
                                         When (n + 1)p is an integer, the distribution will be bimodal and the two modal values
                                         would be (n + 1)p - 1 and (n + 1)p.

                                           Example 1: An unbiased die is tossed three times. Find the probability of obtaining (a)
                                    no six, (b) one six, (c) at least one six, (d) two sixes and (e) three sixes.
                                    Solution.
                                    The three tosses of a die can be taken as three repeated trials which are independent. Let the
                                    occurrence of six be termed as a success. Therefore, r will denote the number of six obtained.
                                                       1
                                    Further, n = 3 and  p =  .
                                                       6

                                    (a)  Probability of obtaining no six, i.e.,
                                                                   0  5  3  125
                                                                1ö æ ö
                                                        0 3
                                          P (r =  ) 0 =  3 C p q =  1. æ  =
                                                               ç ÷ ç ÷
                                                      0
                                                               è  6 ø è ø  216
                                                                     6




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