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                                 3.  NORMAL PROBABILITY DIRTRIBUTION


                     3.1    NORMAL CURVE

                            Continuous  probability  distribution  are  most  commonly  used  in

                     inferential statistics is the normal distribution. Graph of normal distribution is
                     often called the normal curve, which  is  a bell-shaped  curve that picture as

                     shown  in Figure 3.1

                            There  are  so  many  clusters  of  data  encountered  everyday  that  can  be

                     approached as a distribution in the form of a normal distribution or they had a

                     probalility distribution resembles a normal distribution. As a result, the normal
                     distribution  and  normal  curve  graph  is  very  often  used  to  cluster  the  data

                     coming  from  various  fields,  such  as  industry,  economy,  agriculture,  and  for

                     research. Normal distribution is often called the Gaussian distribution, in honor

                     of  Gauss  (1777  -  1855),  who  managed  to  find  the  equation  of  the  normal

                     distribution through the study of error in repeated measurements of the same
                     object. Previously, DeMoivre has managed to reduce the mathematical equation

                     for the normal curve in 1733.


























                                                                  Figure 3.1  The normal curve







                                     ~~* CHAPTER 3   NORMAL PROBABILITY DISTRIBUTION *~~
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