| Content | Abstract
Statistical analysis on Covid-19 and levels of literacy in selected states of northern Nigeria. The study focused on assessing reported cases of the COVID-19 pandemic and the level of illiteracy in 10 states of the Northern part of Nigeria. The study adopted descriptive survey. Secondary data on reported cases of COVID-19 in Nigeria (National Center for Disease Control) as well as literacy rate (National Bureau of Statistics) for the period of 2020-2021. The study data were analyzed using simple line charts and simple descriptive statistics such as mean, median, standard deviation and standard error. The result of the study a mean confirmed cases 2,042, for death, the mean of 30. The expected number of individuals vaccinated in a Northern state of Nigeria is about 41,859 with a variation of about 3000 individuals across the states. The evaluation of the literacy rate shows a mean literacy rate of 29.3% of the Northern states studies. Confirmed cases of the COVID-19 pandemic in these states are highest in Plateau state and vaccination is most in Gombe state. Borno is poorly vaccinated and has the least level of literacy in the Northern states studied. | Abstract
An evaluation of the statistical implication of the violation of regression assumptions. This study seeks to evaluate the statistical implications of the violation of regression assumptions. The study utilized a socio-economic dataset in regression modeling with a focus on validating the assumption of residual and normality. From the analysis of data in this study, we utilized two set of data, one original and the other, a copy of the original but contaminated. The result of the study has been analyzed with the regression model, with reference to validating the regression assumptions, specifically on test of normality and the residual analysis. The study result found that both models on the different sets of data indicated that they are adequate. Further analysis revealed that the model with original values satisfied the regression assumption of normality and residual and the coefficient estimate were higher compared to the second model where the assumptions were violated. Despite the indication that the model is adequate, the parameter estimates were insignificant and thus, any inference drawn upon the contaminated dataset might be misleading. Thus, the essence of validating the assumptions of regression model is paramount in empirical research as its violation might be catastrophic. | Abstract
Statistical study of academic performance of students in private polytechnic in south east - case study of Abia state. This project work focuses on the statistical study of the academic performance of private polytechnics. The aim of this study is to check whether the mean ranks of the academic performances of NDI Statistics students of Covenant polytechnic Aba on MTH 111, MTH 112, STA 111 and STA 112 are the same. The data used in this study were obtained from a secondary source. The data collected were analyzed using Friedman’s two-way analysis of variance by ranks, chi-square test and Spearman’s rank correlation test. The results obtained showed that the mean ranks of the academic performances of Statistics students of Covenant Polytechnic Aba on MTH 111, MTH 112, STA 111 and STA 112 are not the same. The chi-square test revealed that academic performances of NDI Statistics students of Covenant Polytechnic Aba depend on the nature of the course taken. While the Spearman’s rank correlation test indicated that there is no association between the academic performances of NDI Statistics students of Covenant Polytechnic Aba on mathematical and Statistical courses. Based on the findings of this study, the ministry of education should initiate a better strategy that would make the study of Mathematics and Statistics more interesting to students as to improve the process of decision-making and consequently improve the economic development of this great nation. | Abstract
Optimal allocation of resources using sensitivity analysis in linear programming problem. The study evaluated how the decision making process of bread producers can be influenced through optima allocation of raw materials and production of optimal quantities of product that will improve the profit margin of the companies. The study used the linear programming problem to model the data based on the materials involved in the production of three products and the average profit made from the process. The model solution was determined using the simplex algorithm method and it was revealed that in order to enhance maximum profit (N75,228.57) per 250kg of available flour, the manager should produce 2857 loaves of large loaves and 3286 pans of madiga and no medium sized bread should be made. In addition, the optimal resources to be allocated for the production process should be 250kg, 3.68kg, 30.5kg, 23.64kg, 1.78kg, 200ml and 0.71kg of flour, salt, yeast, sugar, preservative, flavor and EDC respectively. In essence, the production of bakeries can be optimized by adopting sensitivity analysis in linear programming in Nigeria... | Abstract
Statistical analysis of reported cases of road traffic accidents in Imo state (1997-2003). This project is to determine the level and rate of road traffic accidents in Imo state Data from the Federal Road Safety Commission was used to find out the prevalence of Road Traffic Accidents over a years period (1997-2003) and to know if there were any dedication to be made. It was discovered that over the selected period of study, the number of road traffic accidents that occurred each year did not follow any significant trend. The trend equation is ya + bt, based on the equation the projection for the 4th quarter of 2007 will be 132.6319. Also, the season noticed that majority of the road users involved in road traffic accidents were on motorcycles. It was noticed also that on the whole, more males were victims of road traffic accidents than females. | Abstract
A logistic regression analysis on factors impacting pulse level. This study evaluates the risk factors associated with abnormal pulse levels in the Nigeria society using factors such as age, income and marital status. The data sourced were analyzed using the binary logistic regression model in SPSS 22.0. The result of the study reveals that the age of individuals has a significant effect in influencing the pulse level of people in this study since it has a p-value of less than 0.05. The study also pointed out that the odds of having a normal pulse level is 0.946 times the other factors presented. The normal pulse for healthy adults ranges from 60 to 100 beats per minute which were common among the population studied. It should be noted that the pulse level of individuals can be used as an index for healthy living of people. |
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