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Yadulla Hasanli, Nazim Hajiyev, Gunay Rahimli:Distribution and Analysis of Admission
                                                                                                               Scores (In the Case of Azerbaijan


                                                         İ
                                          χ2 = ∑     (      −   ) 2                                 (1)
                                                   =1
                                                            


                    Here, k- is the number of intervals,    − observed frequency in the i-th interval,    is
                                                                                                   İ
                                                          
                    expected  frequency  in  the  i-th  interval  and  is  obtained  by  multiplicating  event’s
                    theoretical probability (here, the event is that variables are in the i-th interval) by the
                    number of trials. Probability of variables are in the i-th interval is found as follows:

                                                    =   (   ) −   (     −1 )
                                                            
                                                     


                    To determine if data follows any theoretical distribution using χ2 test, the hypothesis
                    is constructed as follows (Hein K., 2002):
                       : the variable is subject to the stated distribution;
                     0
                       : the variable is not subject to the stated distribution.
                     1
                    Then we compute the value of χ  2          for the random variable using formula
                                                                        
                    (1). If we choose the distribution law correctly, then  χ 2      variable will have
                                                                                             


                    χ2 theoretical distribution, as the number of observations increases.

                    This  is  a  continuous  distribution  and  this  distribution  depends  on  a  parameter  r
                    called  the degree of freedom:  r=k-1-s. Here, k is the number of intervals, s- is the
                    number of parameters of the distribution law.


                    There is a table especially designed for χ2 distribution. Using this table, firstly we

                    find the critic value of  χ2 for the given value of the degree of freedom  and it is
                    compared with χ 2         . If  χ 2      < χ 2    , then     hypothesis, that is, the
                                                                              0
                                                                       
                                                                               
                                                        
                    law  of  distribution  is  accepted.  Otherwise,  the  proposed  hypothesis  is  rejected
                    (Палий И.,2004).

                    Tested distributions
                    Most  natural  and  economic  processes  follow  a  normal  or  asymptotic  normal
                    distribution (for these processes, as the number of trials increase, their distribution is
                    approaching normal distribution). When analysing exam results, checking whether
                    the results have a normal distribution or not is one of the widely used methods in the
                    literature (W.Yuan, C.Deng, H. Zhu, J.Li., 2013; Akella, S., Diaz, P. M., & Babu, B.
                    S.,  2017).  Therefore,  firstly,  we  will  check  whether  the  scores  obtained  in  the
                    admission exams follow a normal and exponential distribution.







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