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Statistics



                      Notes         Solution.

                                    Let the mean and standard deviation of the given distribution be m and s respectively.

                                                                              -
                                                                      æ   4500 m ö
                                    It is given that  (X <  4500 ) =  0.0228  or  P z <  ÷  =  0.0228
                                                 P
                                                                      ç
                                                                      è        ø
                                    On locating the value of  z  corresponding to  an area  0.4772 (0.5000  -  0.0228), we  can  write
                                     4500 m
                                         -
                                                       -
                                            = -  2  or  4500 m = -  2                                          .... (1)
                                       
                                    Similarly, it is also given that
                                                                             -
                                                                     æ   7500 m ö
                                                P (X >  7500 ) =  0.1587  or  P z >    ÷ ø  =  0.1587
                                                                     ç
                                                                     è
                                    Locating the  value  of  z  corresponding  to an  area 0.3413  (0.5000 -  0.1587), we  can  write
                                         -
                                     7500 m
                                                     -
                                                        =
                                            =  1  or  7500 m                                                    .... (2)
                                       
                                    Solving (1) and (2) simultaneously, we get
                                                m = Rs 6,500 and s = Rs 1,000.

                                           Example 33:  Marks in an examination  are approximately normally distributed with
                                    mean 75 and standard deviation 5. If the top 5% of the students get grade A and the bottom 25%
                                    get grade F, what mark is the lowest A and what mark is the highest F?
                                    Solution.
                                    Let A be the lowest mark in grade A and  F be the highest mark in grade F. From the given
                                    information, we can write

                                                                 æ   A - 75ö
                                                P (X   A ) =  0.05  or  P z   ÷  =  0.05
                                                                 ç
                                                                 è     5  ø
                                    On locating the value of  z  corresponding to  an area  0.4500 (0.5000  - 0.0500),  we  can write
                                     A -  75
                                          =  1.645   Þ    A =  83.225
                                       5
                                    Further, it is given that

                                                                 æ  F -  75ö
                                                P (X £  ) F =  0.25  or  P z £  ÷  =  0.25
                                                                 ç
                                                                 è    5  ø
                                    On locating the value of  z  corresponding to  an area  0.2500 (0.5000  -  0.2500), we  can  write
                                     F -  75
                                          = -  0.675   Þ    F =  71.625
                                       5


                                           Example 34: The mean inside diameter of a sample of 200 washers produced by a machine
                                    is 5.02 mm and the standard deviation is 0.05 mm. The purpose for which these washers are
                                    intended allows a maximum tolerance in the diameter of 4.96 to 5.08 mm, otherwise the washers
                                    are considered as defective. Determine the percentage of defective washers produced by the
                                    machine on the assumption that diameters are normally distributed.



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