Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/27690
Title: Statistical Analysis on the Performance of Students in Some Selected Mathematical Courses at Ibrahim Badamasi Babangida Univ Lapai, Niger State
Authors: Muhammad, A. T.
Badeggi, A. Y.
Adamu, A. I.
Yusuf, J. D.
Sheshi, M. M.
Mayaki, J.
Abdullahi, S. M.
Keywords: Partial Correlation
Multiple Regression
Chi-Square
Academic Performance
Issue Date: Apr-2021
Publisher: Nigerian Association of Mathematical Physics
Series/Report no.: 1116-4336;60
Abstract: Multiple regression, partial correlation and chi-square analysis are statistical techniques use in measuring relationship among variables. The regression analysis gives a standard trend for the selected mathematical courses with codes MTH202, MTH201 and MTH 104. Where MTH202 is the subordinate variable and both MTH201 and MTH104 are Auxiliary variables which was used with the regression model in the method. The partial correlation also reveals that there exist weak positive relationship between the courses MTH202 and MTH201, holding the course MTH104 constant, there also exist strong positive relationship between the two courses MTH202 and MTH104, holding the course MTH201 constant and there exist strong positive relationship between MTH201 and MTH104, holding MTH202 constant. Chi-square analysis was used to deduce the performances of students depend on the understanding of the courses, and it indicates that there is a major contributor to the element of heteroskedasticity in the data. Lastly the manual solution was the same as that of the package.
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/27690
Appears in Collections:Statistics

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