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Statistics



                      Notes         The integral part of m will be mode.

                                    Case II. When m is an integer
                                    The distribution is bimodal with values m and m - 1.


                                           Example 13: The average number of customer arrivals per minute at a super bazaar is 2.
                                    Find the probability that during one particular minute (i) exactly 3 customers will arrive, (ii) at
                                    the most two customers will arrive, (iii) at least one customer will arrive.
                                    Solution.
                                    It is given that m = 2. Let the number of arrivals per minute be denoted by the random variable
                                    r. The required probability is given by

                                                   e  2 .2 3  0.13534 8
                                                                   ´
                                    (i)  P (r =  ) 3 =   =            =  0.18045
                                                     3!         6
                                                    2  e   2 .2 r      4 ù
                                                                   +
                                                                                    ´
                                    (ii)  P (r   ) 2 =  å  =  e   2 é ê 1 2 +  ú  =  0.13534 5 =  0.6767.
                                                   r= 0  ! r     ë      2 û
                                                                  e  2 .2 0
                                                    
                                                                           
                                    (iii) P (r   ) 1 =  1 P (r =  ) 0 =   =  1 0.13534 =  0.86464.
                                                               1
                                                                    0!
                                           Example 14: An executive makes, on an average, 5 telephone calls per hour at a cost
                                    which may be taken as Rs 2 per call. Determine the probability that in any hour the telephone
                                    calls' cost (i) exceeds Rs 6, (ii) remains less than Rs 10.

                                    Solution.
                                    The number of telephone  calls per hour is a random variable with  mean =  5. The required
                                    probability is given by

                                                                    3  e   5 .5 r
                                                                1
                                                     
                                    (i)   P (r >  ) 3 =  1 P  (r   ) 3 =   å
                                                                   r= 0  ! r

                                                                       
                                                   1 e=    5 é 1 5 +  25  +  125 ù  =  1 0.00678 ´  236  =  0.7349.
                                                       +
                                                     ê             ú
                                                     ë      2   6 û               6
                                                    4  e  5 .5 r     25  125  625ù           1569
                                    (ii)  P (r   ) 4 = å  =  e   5 é ê 1 5+  +  +  ú  =  0.00678 ´  =  0.44324.
                                                                 +
                                                   r= 0  ! r   ë      2    6   24 û            24
                                           Example 15:  A company makes  electric toys.  The probability  that an electric toy is
                                    defective is 0.01. What  is the  probability that a shipment of 300  toys will contain exactly  5
                                    defectives?











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