Taiwo Stephen - Academia.edu (original) (raw)

Papers by Taiwo Stephen

Research paper thumbnail of Gender Analysis on Students Performances In Ondo State Public Secondary Schools

The study evaluated gender analysis of students' performances in Ondo State Public Secondary Scho... more The study evaluated gender analysis of students' performances in Ondo State Public Secondary Schools. The source of data was secondary and was collected from the Ondo State Bureau of Statistics. The aim is to investigate whether students' performance is independent of sex across the 18 LGAs. The methodology employed the use of chi-square test, t-test and correlation analysis. The result of the analysis revealed that students' performance is independent of sex across the 18 LGAs in the State using chi-square test. Also, performance of male students is not equal to performance of female students across the 18 LGAs in the State using t-test. Furthermore, results of t-test on each LGA revealed that there are significant differences in the performance of male students and female students in 3 LGAs namely Ese-Odo LGA, Ilaje LGA and Odigbo LGA. Finally, correlation analysis on each of the LGA revealed that only one LGA namely Akure South LGA has a negative correlation. Test of correlation also revealed that Akure South LGA has no correlation between male and female performances while there is correlation between male and female performances in each of the remaining 17 LGAs. Based on my research (prima facie), it was observed that year 2012 performance of 37.97% is an improvement over 2009 and 2010 performances that have 21% and 30.18% respectively.

Research paper thumbnail of Different Forms Biasing Parameter for Generalized Ridge Regression Estimator

International Journal of Computer Applications, 2019

The concept of different forms on the basis of original, minimum, maximum and measures of locatio... more The concept of different forms on the basis of original, minimum, maximum and measures of locations of eigen values of XIX of the design matrix in regression analysis was introduced into estimating the biasing or ridge parameter of the generalized ridge estimator of linear regression model with multicollinearity problem. This resulted into some proposed biasing parameters having considered existing seven (7) biasing parameters of the Generalized Ridge Regression (GRR) estimator. Their performances were examined and compared with the Ordinary Least Square (OLS) estimator and the existing (parent / original) biasing parameters of GGR estimator so as to identify the one(s) that would produce efficient estimates of the model parameters. Monte Carlo experiments were conducted 5000 times on two linear regression models with three and six explanatory (p = 3 and p = 6) variables under six (6) levels of multicollinearity (ρ = 0.8, 0.9, 0.95, 0.99, 0.999, 0.9999), three (3) levels of standard error (σ = 1, 5 and 10) and seven (7) levels of sample sizes (n = 10, 20, 30, 50, 100, 150, 250). The estimators were compared using Mean Square Error (MSE) criterion.

Research paper thumbnail of Gender Analysis on Students Performances In Ondo State Public Secondary Schools

The study evaluated gender analysis of students' performances in Ondo State Public Secondary Scho... more The study evaluated gender analysis of students' performances in Ondo State Public Secondary Schools. The source of data was secondary and was collected from the Ondo State Bureau of Statistics. The aim is to investigate whether students' performance is independent of sex across the 18 LGAs. The methodology employed the use of chi-square test, t-test and correlation analysis. The result of the analysis revealed that students' performance is independent of sex across the 18 LGAs in the State using chi-square test. Also, performance of male students is not equal to performance of female students across the 18 LGAs in the State using t-test. Furthermore, results of t-test on each LGA revealed that there are significant differences in the performance of male students and female students in 3 LGAs namely Ese-Odo LGA, Ilaje LGA and Odigbo LGA. Finally, correlation analysis on each of the LGA revealed that only one LGA namely Akure South LGA has a negative correlation. Test of correlation also revealed that Akure South LGA has no correlation between male and female performances while there is correlation between male and female performances in each of the remaining 17 LGAs. Based on my research (prima facie), it was observed that year 2012 performance of 37.97% is an improvement over 2009 and 2010 performances that have 21% and 30.18% respectively.

Research paper thumbnail of Different Forms Biasing Parameter for Generalized Ridge Regression Estimator

International Journal of Computer Applications, 2019

The concept of different forms on the basis of original, minimum, maximum and measures of locatio... more The concept of different forms on the basis of original, minimum, maximum and measures of locations of eigen values of XIX of the design matrix in regression analysis was introduced into estimating the biasing or ridge parameter of the generalized ridge estimator of linear regression model with multicollinearity problem. This resulted into some proposed biasing parameters having considered existing seven (7) biasing parameters of the Generalized Ridge Regression (GRR) estimator. Their performances were examined and compared with the Ordinary Least Square (OLS) estimator and the existing (parent / original) biasing parameters of GGR estimator so as to identify the one(s) that would produce efficient estimates of the model parameters. Monte Carlo experiments were conducted 5000 times on two linear regression models with three and six explanatory (p = 3 and p = 6) variables under six (6) levels of multicollinearity (ρ = 0.8, 0.9, 0.95, 0.99, 0.999, 0.9999), three (3) levels of standard error (σ = 1, 5 and 10) and seven (7) levels of sample sizes (n = 10, 20, 30, 50, 100, 150, 250). The estimators were compared using Mean Square Error (MSE) criterion.