Title :
Notice of Retraction
Correlation analysis between the number of students taking the college entrance examination in china and school-age population base and mathematical model-building
Author :
Xiaoxu Sun ; Jing Mu ; Mulin He ; Cong You
Author_Institution :
Accounting, Central Univ. of Finance & Econ., Beijing, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In this thesis, by collecting and analyzing relevant data, we research the correlation between number of examinees taking the college entrance examination (hereafter referred to as “the number of examinees”) and the school-age population base in light of the decrease in the number of applicants for the 2009 college entrance examination. For the first time, the variation tendency of the number of examinees is analyzed from the proportion of the number of examinees to the school-age population base, and mathematical methods are applied to analyze the correlation between the two. The results of the study are as follows: 1. Although the number of applications decreased in 2009, the proportion of the number of applicants to school-age population base increased; 2. School-age population base is a major factor affecting the number of examinees and it shows a positive correlation between the two; 3. A mathematical model is built to forecast the number of examinees, which can be used to scientifically forecast the number of examinees in 2010.
Keywords :
educational institutions; statistical analysis; China; college entrance examination; correlation analysis; mathematical model-building; school-age population base; Correlation; Educational institutions; Employment; Equations; Finance; Mathematical model; Number of examinees taking the college entrance examination; correlation; forecast; mathematical model; school-age population base;
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Dengleng
Print_ISBN :
978-1-4577-0535-9
DOI :
10.1109/AIMSEC.2011.6010417