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All Journal Mikailalsys Journal of Mathematics and Statistics
Mamidu, Moses Joanna
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Engineering Mathematics Mechanical Engineering

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Markov Chain Prediction of the Long-Run Behavior of Nigerian Oil Stock Jude, Iroka; Mamidu, Moses Joanna
Mikailalsys Journal of Mathematics and Statistics Vol 3 No 2 (2025): Mikailalsys Journal of Mathematics and Statistics
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mjms.v3i2.5263

Abstract

This study examined the behavior and long-term prospects of selected Nigerian oil stocks such as Conoil, Seplat Oil, and Total Oil by analyzing their daily closing prices using the Chi-Square test for independence, transition probability matrices, and steady-state probability analysis. The Chi-Square test revealed a significant dependence between the daily closing prices of the stocks, indicating a correlation between subsequent price movements. The transition probability matrices showed that Conoil and Seplat Oil have an equal likelihood of transitioning between the High (33.34%), Stable (33.33%) and Low (33.33%) price states, while Total Oil demonstrated a stronger preference for the High (41.92%) , stable (36.71%) and low (21.37%) states. The steady-state probabilities revealed that Conoil and Seplat Oil and Total Oil have a higher likelihood of remaining in the high state in the long term, with Total Oil exhibited a more balanced distribution, suggesting a more stable price movement. The findings imply that investors should consider the correlation between daily price movements and the long-term behavior of these stocks. However, the study's limitations, such as the exclusion of external factors like global oil prices and political stability, should be taken into account when interpreting the results.
Exploratory Analysis of Students’ Score Jude, Iroka; Mamidu, Moses Joanna
Mikailalsys Journal of Mathematics and Statistics Vol 3 No 2 (2025): Mikailalsys Journal of Mathematics and Statistics
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mjms.v3i2.5276

Abstract

The main thrust of this study was to determine the effect of Sex, Age, School, and Mode of Entry on performance of students in the subject Biology using Univariate Analysis of variance for the four factors (Sex, Age, School, and Mode of Entry) at two levels each factorial design. The case study is a single random sampling of 100 students selected from the 150 in a class of 200 level students from the Department of Biochemistry, Biological Sciences and Microbiology, Federal University Wukari, Taraba State, Nigeria. To achieve the purpose of this study, hypotheses were formulated to direct the study. Literature review was carried out according. Secondary data from the Department of Biological Science were used to analyse the findings of this research work. All hypotheses were tested at 0.05 level of significance. The results obtained showed that the four factors interaction is the only significant treatment in the factorial design. Eta squared showed that the four factors (Sex, Age, School, and Mode of Entry) interaction contributes the greatest to the variations in the students’ scores in the subject. Noncent parameter and Observed power showed the same. The study recommended amongst other things that parents and educationists should provide enabling environment for the students by ensuring their age, school, and mode of entry is taken cognizance of as it has a significant impact on the students’ performance; parents who are interested in the educational performance of their children to become Biologists or take up Biology and parents who are tending to mould their children to become Biologists or take up Biology related careers in the future to take these four factors into consideration.
Co-Authors Jude, Iroka