Statistical analysis on students' performance on ST2063 statistical programming package for semester 2 2006/2007 session : A comparative analysis on gender, programme, status and year of study

Suriani Hassan, and Fauziah Sulaiman, and Khadizah Ghazali, and Siti Rahayu Mohd Hashim, and Zainodin Hj. Jubok, (2007) Statistical analysis on students' performance on ST2063 statistical programming package for semester 2 2006/2007 session : A comparative analysis on gender, programme, status and year of study. In: 12th WSEAS International Conference on Applied Mathematics, 29-31 December 2007, Cairo, Egypt.

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Official URL: http://dl.acm.org/citation.cfm?id=1376427&dl=GUIDE...

Abstract

ST2063 Statistical Programming Package is a core subject for most students in School of Science and Technology, Universiti Malaysia Sabah. This study discussed the students' performance on ST2063 Statistical Programming Package for Semester 2 2006/2007 Session on gender.. programme, students' status and year of study. The data consisted of ST2063 Statistical Programming Package results of 269 students in Semester 2 2006/2007 Session. This study utilized Independent-Samples t-Tests and Analysis of Variance for the analysis methods. From this study, it was statistically significant that female students performed better than male students on ST2063 Statistical Programming Package total marks for Semester 2 2006/07 Session. There were significant mean differences for ST2063 Statistical Programming Package total marks between first and third year students, between first and second year students and between second and third year students. Biotechnology students performed better than Plant Technology students, Conservation Biology students, Physics with Electronics students, Marine Science students and Environmental Science students on ST2063 Statistical Programming Package total marks for Semester 2 2006/07 Session. There was no significant mean difference between the status of the students on students' performance on ST2063 Statistical Programming Package.

Item Type:Conference Paper (UNSPECIFIED)
Uncontrolled Keywords:Marks, Gender, Status, Programme, Year of study
Subjects:H Social Sciences > HA Statistics
Divisions:SCHOOL > School of Science and Technology
ID Code:1159
Deposited By:IR Admin
Deposited On:26 Sep 2011 17:43
Last Modified:29 Dec 2014 16:33

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