Age and Gender as Predictors of Academic Achievement of College Mathematics and Science Students
Abstract
This study examined the correlates between age and gender on academic achievement (CGPA) of Mathematics
and Science students. The study used three hundred and thirty-two (332) students; two hundred and twenty-three(223) females
and one hundred and nine (109) males . Scatter-plot, mean and Standard deviation were used for the descriptive statistics while
univariate analysis of variance (ANOVA) and multiple regression were used for the inferential statistics. Z-test was used to test
the null hypothesis formulated (P? 0.05).Result revealed a linear relationship between, age-CGPA and gender–CGPA.A low
positive correlation coefficients was obtained for ages and gender (r=0.030 and 0.111) which significant. The predictor variables
jointly accounted for 1.3% of the variance, gender was the better predictor. The null hypothesis tested was accepted implying no
significant gender difference in academic achievement of the students. It was suggested that some more variables be included
so as to determine significant contributory effect of students academic achievement of Mathematics students .
Downloads
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.