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                     1.74. First find the value of z is equal to 1.7 in the leftmost column, and then

                     view  along  the  raw  until  the  column  below  0.04,  there  we  read  0.4591.  Thus
                     P(0 <Z <1.74) = 0.4591.



























                                         Figure 3.5  Probability of Z between 0 to z
                                                        P ( 0 < Z < z )


                            Sometimes, we are asked to find the value  of z for a given probability

                     value and the z value is between the values listed in Table A.1. For simplicity,

                     we will take the value of z in the table which its  probability value  closest to
                     probability value known. However, if the probability is known that falls right in

                     the middle between the two tables, then the value of z we get an average of the

                     two values of z matching both values in the table. For example, to find the value

                     of z that generates probability for 0.2975, which lies between 0.2967 and 0.2995

                     in  Table  A.1,  we  will  take  z =  0.83,  since  0.2975  is  closer  to  0.2967.  But  for a
                     probability at 0.2981, which falls right in the middle of 0.2967 and 0.2995, we

                     will take z = 0.835.


                     Worked  Example  3.1:  For  a  normal  distribution  with     =  50  and     =  10,


                     compute the probability that X taking a value between 40 and 62.





                                     ~~* CHAPTER 3   NORMAL PROBABILITY DISTRIBUTION *~~
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