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Publication Title ROLE OF STATISTICS IN NIGERIA POLITICS Download PDF
Publication Type journal
Publisher Global Journal of Applied and Physical Sciences
Publication Authors Okeoghene Blessing Ohoriemu
Year Published 2023-11-03
Abstract This paper attempts to analyze the role of Statistic in our society today through comprehensive and timely collection of data from the grass root to the urban and utilizing same for efficient and adequate elections. Attempt was made to critically justify how elections in politic dispensation can be improved upon. The discussion for considering the use of statistics in politics as a useful resource for democracy in the society have also been advanced. The quest for democracy and good governance has been a global phenomenon over the years and Nigeria which is still green in democracy is not an exception. Evidence has shown that both in the theoretical and empirical literature, democracy, good governance and statistics mutually reinforces one another and are supportive of economic development. In fact, this probably underscores the popular saying that the worst form of democracy is better than a military regime no matter how good it may be. The indispensability of statistics for economic development cannot be overemphasized. Statistics provides the ingredient for planning and policy execution. It provides the numbers for matching resources with needs, particularly, ensuring equity and justice. The paper aimed at demonstrating how democracy and good governance are appraised using statistics in Nigeria.
Publication Title COMPUTER SIMULATIONS AS A TOOL FOR ENHANCING ALGEBRA RETENTION IN JUNIOR SECONDARY SCHOOLS: AN ANALYSIS Download PDF
Publication Type journal
Publisher
Publication Authors *1Justin Onyarin Ogala and 2Ohoriemu Blessing Okeoghene
Year Published 2024-08-04
Abstract Over the years, Nigerian students have consistently performed poorly in mathematics. The West African Examination Council (WAEC) reports a steady decline in math performance among examinees outside the school system. Research papers and Chief Examiners' Reports have highlighted that students struggle with certain math tasks, indicating general deficiencies in mathematical skills. This research aimed to investigate the impact of computer simulation on students' retention of algebraic mathematics. The study was guided by two research questions and two hypotheses. A quasi-experimental design was employed, involving fifty-four students from two different schools. Each school had two junior secondary streams, with experimental and control groups assigned randomly. The lessons were conducted by the students' regular math teachers, who also served as research assistants. The Algebra Achievement Test (AAT) was used to measure retention, with a reliability coefficient 0.98. Data analysis was performed using SPSS software, with a significance level set at 0.05. The results revealed no statistically significant differences in the mean retention scores of male and female students who received algebra instruction through computer simulation.
Publication Title MULTIPLE LINEAR REGRESSION MODEL: A STATISTICAL TOOL FOR PREDICTION OF SCORES OF FINAL YEAR MATHEMATICS DEGREE STUDENTS OF THE COLLEGE OF EDUCATION, AGBOR IN AFFILIATION WITH DELTA STATE UNIVERSITY, ABRAKA Download PDF
Publication Type journal
Publisher abacus
Publication Authors Ohoriemu Blessing Okeoghene, Osemeke Reuben Friday and Aghamie Sunday Osiebun
Year Published 2022-08-02
Abstract Multiple linear regression is one of the most widely used statistical tools in diagnosing the performance of students in any examination. It is defined as a multivariate technique for assessing the correlation between a dependent variable(Y) and some combination of two or more independent variables(X1, X2, X3 . . Xp). In this paper, a multiple linear regression model comprises of three independent variables(X1, X2, X3) is developed to analyses the performance of final year mathematics Degree students of the College of Education, Agbor in affiliation with Delta State University, Abraka. The model is based on the data of student’s scores in first tests, second test, and class attendance. The estimates both of the magnitude and statistical significance of relationships between the variables have been provided. Several statistical measures such as descriptive statistics, F calculated, T calculated, coefficient of determination(r2), adjusted coefficient of determination, Mallows Cp Statistic, multicollinearity diagnostics and graphical residual plots, were used as a benchmark for selection of best subsets optimal regression models in a multiple regression diagnostics and a statistical tool for the analyzing the performance of final year mathematics Degree students of the College of Education, Agbor in affiliation with Delta State University, Abraka
Publication Title INTEGRATING ARTIFICIAL INTELLIGENCE AND MATHEMATICAL MODELS FOR PREDICTIVE MAINTENANCE IN INDUSTRIAL SYSTEMS Download PDF
Publication Type journal
Publisher
Publication Authors *1Justin Onyarin Ogala and 2Ohoriemu Blessing Okeoghene
Year Published 2024-06-03
Abstract Predictive maintenance is a critical task for ensuring the reliability and efficiency of industrial systems. The integration of artificial intelligence (AI) and mathematical models has shown great potential in improving the accuracy and efficiency of predictive maintenance. This study provides an overview of the different types of mathematical models used for predictive maintenance, including physics-based, data-driven, and hybrid models. The study also discusses how AI techniques, such as machine learning and deep learning, can be used to enhance the accuracy and efficiency of predictive maintenance models. Additionally, the article highlights some of the challenges and limitations of integrating AI and mathematical models for predictive maintenance in industrial systems. Finally, this study provides a case study to demonstrate the practical application of the integrated approach for predictive maintenance in an industrial setting. This article aims to provide a comprehensive overview of the state-of-the-art in integrating AI and mathematical models for predictive maintenance and to provide guidance for researchers and practitioners working in this field.
Publication Title A HYBRID APPROACH TO SOLVING COMPLEX OPTIMIZATION PROBLEMS USING EVOLUTIONARY ALGORITHMS AND MATHEMATICAL MODELING Download PDF
Publication Type journal
Publisher
Publication Authors *1Justin Onyarin Ogala and 2Ohoriemu Blessing Okeoghene
Year Published 2024-06-03
Abstract T It can be difficult to optimize complex issues, and doing so frequently calls for the application of cutting-edge methods like mathematical modelling and evolutionary algorithms. Our proposal in this work is to address complex optimization issues using a hybrid strategy that integrates both approaches. The suggested method builds a surrogate model of the issue by mathematical modelling, which is subsequently optimized through the application of evolutionary algorithms. The hybrid methodology is tested against other optimization methods, such as particle swarm optimization and genetic algorithms, on a series of benchmark tasks. The experimental findings demonstrate that in terms of both computing time and solution quality, the suggested hybrid strategy performs better than various alternative methods. The suggested methodology exhibits great potential as a means of resolving intricate optimization issues across diverse fields, such as engineering, finance, and healthcare
Publication Title APPLICATION OF DYNAMIC PROGRAMMING MODEL TO CRIME CONTROL (A CASE STUDY OF BENIN CITY METROPOLIS) Download PDF
Publication Type journal
Publisher International Journal of Applied and Physical Science Research
Publication Authors Ohoriemu Blessing Okeoghene
Year Published 2022-06-02
Abstract It is quite consensual that the police patrolling can be regarded as one of the best well-known practices for implementing public-safety preventive policies towards the combat of an assortment of urban crimes. Deploying adequate police patrol to hotspots areas based on available patrol units is even huge challenge. In time past, Nigerian police employed heuristic approaches to deploy crime preventive police patrol teams to the hotspots. These approaches are not necessary expected to yield optimal solutions to the problem of effectively allocating police patrol efforts across various hotspots. In this work, we present how dynamic programming can be used to bring about optimal solutions to the police patrol allocation problem. Data were collected from the Nigerian Police Command Headquarter, Benin City on crime statistics across eight precincts. These data were analyzed using the dynamic programming to determine the optimal solutions to the effective deployment of crime preventive police patrol force across the eight precincts.
Publication Title INCIDENCES OF SOCIO-ECONOMIC STATUS DIFFERENTIALS ITEM FUNCTIONING , ITEMS IN MATHEMATICS TEST: A RASCH MODEL APPROACH Download PDF
Publication Type conference
Publisher COUNCELLING ASSOCIATION OF NIGERIA CONFERENCE AT DELTA STATE UNIVERSITY, ABRAKA
Publication Authors ALORDIAH CAROLINE OCHUKO AND OHORIEMU BLESSING OKEOGHENE
Year Published 2018-03-06
Abstract
Publication Title IMPROVING STUDENTS PERFORMANCE IN STATISTICS AND PROBABILITY AT THE SENIOR SECONDARY SCHOOL CERTIFICATE EXAMINATION Download PDF
Publication Type journal
Publisher AGBOR JOURNAL OF SCIENCE AND SCIENCE EDUCATION
Publication Authors Ohoriemu Blessing Okeoghene,
Year Published 2017-12-15
Abstract
Publication Title ASSESSING STUDENTS ACADEMIC PROGRESS IN DEVELOPMENTAL AND UNFRIENDLY MATHEMATICAL COURSES IN DELTA STATE UNIVERSITY Download PDF
Publication Type conference
Publisher 56TH ANNUAL CONFRENCE AT RIVERS STATE UNIVERSITY, PORTHARCOURT
Publication Authors Ohoriemu Blessing Okeoghene, AND Osemeke Reuben Friday
Year Published 2022-02-02
Abstract