Grading the academic results on “Fundamentals of management: part 1” and analyzing it through decomposition to normal distributions
Abstract
This paper uses real academic results from “Fundamentals of
management: part 1”, under prof. Angel Marchev, to illustrate a possible
approach for finding natural boundaries between subsets when grading
students. A descriptive review of the used grading scales is done in order to
outline the research problem.
References
European Communities, Luxembourg, 2009, ISBN: 978-92-79-09728-7
http://ec.europa.eu/education/tools/docs/ects-guide_en.pdf
Skinner, B. F. 1953. Science and human behavior, Free Press, March 1965, ISBN
9780029290408
Найденов, Г., К. Харалампиев. 2010. Цикличност в икономическото развитие на
Русия в края на ХІХ и през ХХ век. В: Социологията – от емпирията към теорията.
Юбилеен сборник, посветен на 70 години от рождението на чл.-кор. проф. дсн
Атанас Атанасов. Академично издателство „Професор Марин Дринов”, София
Bretthorst, G.L. 1990. „An Introduction to Parameter Estimation Using Bayesian
Probability Theory”. In: Maximum Entropy and Bayesian Methods, P. Fougere (ed.),
Kluwer Academic Publishers, Dordrecht, the Netherlands

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
By submitting a paper for publishing the authors hereby comply with the following provisions: 1. The authors retain the copyrights and only give the journal the right for first publication while licensing the work under Creative Commons Attribution License, which grants permissions to others to share the contribution citing this journal as first publication of the text. 2. The authors may enter separate, additional contractual relations for non-exclusive distribution of the published version of the work in this journal (e.g. to upload it in an institutional depository, or to be published in a book), given that they cite the first publication in this journal. 3. The authors are allowed and are encouraged to publish their works online (e.g. to upload it in an institutional depository, personal websites, social networks, etc.) before, during, and after the submission of the paper here, because this may lead to productive exchange, as well as earlier and larger referencing of the published works (see The Effect of Open Access).