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Yadulla Hasanli, Nazim Hajiyev, Gunay Rahimli: Distribution and Analysis of Admission
Scores (In the Case of Azerbaijan
This is because major assets created by high-tech and science-intensive products (for
example, computers, phones, machinery and equipment) can be quickly imported
into the country, however, there are certain problems with the transfer of qualified
personnel who can leverage this asset in its full potential. Therefore, qualified
workers should be mostly citizens of the country. Training of qualified personnel is
related to education, especially higher education. The research in the field indicates
positive effects of higher education on earnings over different stages of the work
career and over a lifetime (Tamborini, C. R., Kim, C., & Sakamoto, A., 2015).
Admission to universities, in both bachelor and master level, is carried out according
to the results of exams organized by the State Examination Center. It is obvious that
qualified staff is mainly trained in universities, and their training at directly depends
on the level of knowledge that they have when enrolling in the university. Therefore,
the analysis of the results of these examinations is important not only because it
reflects the quality of teaching in secondary schools in the country, but also it
impacts the training of highly qualifed personnel in universities.
In the research (Yagubov S., Hasanli Y., Shabanov S., Rahimli G., 2018), the
distribution of scores obtained in the admission exams in certain years has been
tested to determine if it is distributed normally and it has been concluded that the
scores do not follow a normal distribution. The other result of this study is that the
homogeneity of education in the country’s schools varies dramatically and is
heterogenous across the country.
In this article, the authors have tested whether the scores obtained in the admission
exams during the years of 1996-2020, as well as the scores obtained in the first stage
of the admission exams to master program follow a normal or exponential law, and
it has been determined that exam results do not follow these distributions, that is,
they are asymmetric. To assess the level of asymmetry, an analysis was carried out
with the calculation of the moment and structural asymmetry coefficients and it was
found that the distribution of points scored on all specialty groups is asymmetric to
the left. Furthermore, on the base of the time series, econometric evaluation has been
conducted to assess the dependence of the average scores obtained by applicants and
standard deviation from average scores on time. Econometric modeling has been
performed in the Eviews software. Afterward, the adequacy tests of the constructed
model have been performed and the results of models have been interpreted.
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