Road traffic accident is one of the major problems facing the world. The carnage on Ghana’s roads has raised road accidents to the status of a ‘public health’ threat. The objective of the study is to identify factors that contribute to accident severity using an ordinal regression model to fit a suitable model using the dataset extracted from the database of Motor Traffic and Transport Department, from 1989 to 2019. The results of the ordinal logistic regression analyses show that the nature of cars, National roads, over speeding, and location (urban or rural) are significant indicators of crash severity. Strategies to reduce crash injuries should physical enforcement through greater Police presence on our roads as well as technology. There is also the need to train drivers to be more vigilant in their travels especially on the national roads and in the urban areas. The Recommendation is, a well thought out and contextualised written laws and sanctioned schemes to monitor and enforce strict compliance with road traffic rules should be put in place.

Purpose: The paper aims to examine the casual role of higher-order thinking skills as a mediator in the relationship between students’ strength in mathematics and achievement in electrical and electronic engineering education. Design/Methodology/Approach: The study adopted a quantitative research design where random cluster sampling was used to select a total of 488 final-year students from four technical universities in Ghana. Mathematics achievement tests were used to gather data on students’ higher-order thinking skills and competence in five areas of mathematics. Also, their examination results were collected from their respective universities. Mediation analysis was done using AMOS 26. Finding: The study revealed that the positive effect of students’ strengths in the five selected mathematics topics on their performance in electrical and electronic engineering education is mediated by their higher-order thinking skills. Conclusion: The research concludes that there is a partial mediation in the relationship between students’ strength in mathematics and achievement in electrical and electronic engineering education by higher-order thinking skills. Research Limitations: It is recommended that further researchers carry out similar research with more mathematics indicators to explain more variations in achievement in electrical and electronic engineering education. Practical Implication: Engineering mathematics curriculum developers should stress the need for mathematics, especially algebra, for the development of higher-order thinking skills to facilitate problem-solving in electrical and electronic engineering education and practice. Contribution to Literature: This study highlights the relationship between the understanding of the concepts of specific mathematics topics, higher-order thinking skills, and achievement in electrical and electronic engineering education.

This study examines the impact of the monetary policy rate (MPR) on the interbank market rate (INTB) in Ghana using monthly data from January 2000 to December 2024. Employing the Johansen cointegration test and Vector Error Correction Model (VECM), the study finds a stable long-run relationship between MPR and INTB, with the interbank rate adjusting to policy changes over time. However, short-run adjustments are sluggish, indicating inefficiencies in the transmission process. Market liquidity constraints, asymmetric information, and structural rigidities contribute to these delays. The findings suggest that while monetary policy remains an effective tool for influencing short-term market rates, enhancing interbank market efficiency is crucial for improving policy transmission. Policy recommendations include strengthening liquidity management, reducing market segmentation, improving policy signaling, and leveraging financial technology to enhance interbank rate responsiveness. These measures can improve the effectiveness of monetary policy in Ghana, ensuring better financial stability and economic growth.

1 Statistical literacy among people is a key skill expected of every individual in any data-driven society, and it has become necessary for both the young and old to appreciate numeracy and literac...

In this study, the three-shape parameter modified exponential, also called the Kumaraswamy Modified Fréchet Exponential, is developed to ‎model time to pain relief. Some important properties of this new model are derived: These include the moments, moment generating function, ‎inequality measures, and mean residual life. The parameter estimates are computed under the maximum likelihood estimator. A simulation study ‎is carried out to investigate the behavior of parameters under the maximum likelihood estimation method. The quantile function is used to generate random numbers for the simulation study. We applied the Monte-Carlo simulation technique. The results show that the parameters with ‎their average bias (AB) and root mean square error (RMSE) decreased alongside increasing sample sizes: 50, 150, 250, 500, and 1000. ‎The results show that the three-shape parameter modified exponential behaves well with the maximum likelihood estimator. The three-‎shape parameter modified exponential model is applied to time-to-pain relief data of patients who received analgesic (pain killer medication). ‎Smaller Akaike and Bayesian Information criteria values are achieved better than all the competitive models; thus, the three-shape parameter ‎modified exponential model demonstrates a better fit for the data used‎.