Application Of a Model For Bordeline Marks
Dr. M. F. AL-BAYATTI
M.F.ALBAYATTI@livjm.ac.uk
School of Computing & Mathematical
Liverpool John Moores University
James Parsons Building,Byrom Street,Liverpool L3 3AF
U.K.
Abstract
An application of a statistical model is presented allowing for different modules, as well as the student effect, which is considered along with usual assumed model for borderline marks in Liverpool John Moores University (JMU). The model is applied to two real sets of data (equally and unequally weighted modules). Highly significant differences between marks of different modules are found. This model shows a significant advantage on the one which is usually used in representing the data.
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