Thesis and Dissertations

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Open Access
ANALYSIS OF TUBERCULOSIS AND HIV CASES IN WEST AFRICA USING PANEL POISSON AND NEGATIVE BINOMIAL REGRESSION MODELS
(DEPARTMENT OF STATISTICS FACULTY OF NATURAL AND APPLIED SCIENCE NASARWA STATE UNIVERSITY, KEFFI, 2019-12-11) Solomon, Gbenga Akinyemi
Tuberculosis is a leading cause of death worldwide and the leading cause from a single infectious agent, ranking above Human immunodeficiency virus (HIV) and Acquired Immune Deficiency Syndrome (AIDS). The aim of this study is to ascertain the trend of tuberculosis prevalence and the effect of HIV prevalence on Tuberculosis in some West African countries from 2000 to 2016 using count panel data regression models. The data used annual HIV and Tuberculosis cases spanning from 2000 to 2016 extracted from online publication of World health Organization (WHO). Panel Poisson regression model and Negative binomial regression model for fixed and random effects were used to analyze the count data, the result revealed a positive trend in TB cases as even increase in HIV cases also lead to increase in TB in West African countries. Among the competing models used in this study, Panel Negative Binomial Regression Model with fixed effect emerged the best model with log likelihood value of -1336.554. This study recommend that Government and NGOs need more strategies to fight against HIV menace in West Africa as this will in turn reduce TB cases in West Africa.
Open Access
APPLICATION OF STATISTICAL QUALITY CONTROL TECHNIQUES ON VOLUME OF PRODUCTS AT HABILA FOOD AND BEVERAGES COMPANY KANO, NIGERIA.
(DEPARTMENT OF STATISTICS FACULTY OF NATURAL AND APPLIED SCIENCES NASARAWA STATE UNIVERSITY, KEFFI, 2019-12-18) Odey, Bassey Obule
Controlling and improving Quality has become an important business strategy for many organisations, because a business that can delight customers by improving and controlling quality can dominate its competitors. Hence, this project work focused on the application of statistical quality control technique on volume of products at Habila Food and Beverage Company, Kano, Nigeria. The objective of this study is to determine if the production in Habila Food and Beverage Company is under control and capable. To achieve the aim and objectives of this project work, quality control data were collected through the secondary sources (that is directly from the Quality Control Department of the company) from different machine used by the company for can and bottle fillers and the respective statistical parameters such as the Means, Ranges, Standard Deviations, Center Line Control Limit, (CL), Upper Control Limit (UCL) and Lower Control Limit (LCL) were developed and analyzed for the company using statistical approach. The resulting Control Charts was also constructed using the parameters developed for better ix understanding and visibility. From the results, it was found that the Can and Bottle filler volume collated and analyzed using the Mean (X-bar) and R- Charts for Bottle fillers lies within the designed range of specifications, implying that the process is capable of producing acceptable product. However, it was also discovered that two (2) of the Can filler volume collated and analyzed using the Range (R - Chart) were out of control. These are attributed to assignable causes such as lack of personal training, poor mix, mechanical fault, etc, are to be subjected to process monitoring and evaluation so as to better their products.
Open Access
ARIMA AND ARIMAX ANALYSIS ON THE EFFECT OF VARIABILITY OF RAINFALL, TEMPERATURE, HUMIDITY ON SOME SELECTED CROPS IN NASARAWA STATE
(DEPARTMENT OF STATISTICS FACULTY OF NATURAL AND APPLIED SCIENCE, NASARAWA STATE UNIVERSITY, KEFFI,, 2019-12-06) Musa, Salisu Auta
This study investigated the effects of climate factors (rainfall, temperature, and humidity) on crops production (yam, rice and maize) in Nasarawa state using ARIMA and ARIMAX model. The descriptive statistics shows that all the variables are normally distributed and Augmented Dickey Fuller test shows that all variables are stationary at first difference. The results indicate that both rainfall and temperature were negatively and significantly related to yam production but humidity was positively and significantly related to yam. It was also revealed that rainfall and temperature were positively and significantly related to rice but humidity was negatively related. It was revealed that rainfall and temperature are negative significant related to maize but humidity is positive significant related. This means an increase in rainfall and temperature will lead to decrease in the production of maize but an increase in humidity will lead to increase the production of maize in the state. The research revealed that ARIMAX performed better in yam production since R2 0.9902 > 0.9359, the ARIMA performed better in production of rice (R2 0.9789 < 0.9937) and maize (R2 0.08582< 0.2714
Open Access
AUTOREGRESSIVE DISTRIBUTED LAG MODELING OF THE EFFECTS OF SOME MACROECONOMIC VARIABLES ON ECONOMIC GROWTH IN NIGERIA
(DEPARTMENT OF STATISTICS FACULTY OF NATURAL AND APPLIED SCIENCE, NASARAWA STATE UNIVERSITY, KEFFI,, 2019-11-05) Ojo, Olalekan Rotimi
This study examined the relationship between inflation rate, unemployment rate, interest rate and real gross domestic product per capita in Nigeria. It also determines the effects of inflation rate, unemployment rate and interest rate on real gross domestic product per capita (proxy for economic growth) in Nigeria. The objective of the study is to analyse the impact of the macroeconomic variables on economic growth and proffer recommendations towards enhancing economic growth and to reduce the distasteful effects of inflation rate, unemployment and interest rate in Nigeria. This study applies a linear dynamic model Auto regressive Distributed Lag (ARDL) modeling technique to analyze the short-run dynamics and long-run relationship of the economic growth in Nigeria over the sample period between 1984 and 2017 using annual secondary data. The empirical results show that there is long-run relationship between inflation rate, unemployment rate and interest rate on real gross domestic product per capita (proxy for economic growth) in Nigeria. Only unemployment rate has a significant effect on real gross domestic product per capita in the long-run, which implies that, a 1% increase in unemployment leads to 43% increase in real gross domestic product per capita. Also, results from the short-run error correction model show a negative significant effect of inflation rate on economic growth which indicate that a 1% increase in inflation rate lead to 1.35% decrease in real gross domestic product per capita. The Error Correction Term (ECT) shows a speed of adjustment of 13.26% between the short-run disequilibrium and long term equilibrium. The study therefore recommends for sustainable economic growth, the need to formulate policies to increase the level of output, reduce unemployment through the adoption of labour intensive technique of production, entrepreneurship development and policy to keep the inflation rate at a low rate (single digit)
Open Access
BAYESIAN POISSON VECTOR AUTOREGRESSIVE MODELLING OF THE DYNAMICS OF THE PREVALENCE OF AIDS RELATED DISEASES IN PSSH JOS NIGERIA
(DEPARTMENT OF STATISTICS FACULTY OF NATURAL AND APPLIED SCIENCE NASARAWA STATE UNIVERSITY, KEFFI, 2019-12-04) Fagbemi, Esther Temidayo
Nigeria is the most populous country in sub-Saharan Africa, with a high burden of both TB and HIV/AIDS. As a result of immunodeficiency those with HIV/AIDS encounter, they are susceptible to various coinfectious diseases. This project work examined the trend of HIV/AIDS, Tuberculosis and Hepatitis coinfections in Nigeria. Annual data from 2003 -2018 was sourced from the Plateau State Specialist Hospital (PSSH), Jos and the methods of analysis Bayesian Poisson Autoregressive Model which encompasses PAR and PEWMA models. The results revealed a significant annual decrease of 23.9% and 4% in Tuberculosis and HIV/AIDS respectively. Furthermore, the results showed a significant annual increase of 46% in Hepatitis. Also a strong relationship exists between TB and HIV/AIDS as a rise in HIV/AIDS increases the risk of contracting TB. Similarly, there is significant rise in HIV/AIDS by 0.85% when TB increases, but hepatitis has no such effect on HIV/AIDS and vice versa. Finally, the decomposition of the forecast error shows that HIV cases is compounded by TB at the rate of 14.1%. Also worthy of note from the data set that TB contributes to hepatitis largely with 89.2%. This project recommends that intensive effort should be made by government to reduce Hepatitis cases in the state while additional efforts be put in place to put an end to the menace of HIV/AIDS and Tuberculosis
Open Access
BUDGET ALLOCATION FOR OPTIMAL PERFORMANCE OF A UNIVERSITY THROUGH ADJUSTED-PROGRAM-BUDGET MARGINALANALYSIS
(Department of Statistics, Nasarawa State University Keffi., 2019-03-01) Maijamaa, Bilkisu
Sesuatu perancangan strategik yang dibangunkan oleh universiti-universiti di serata dunia, termasuk di Malaysia, digunakan sebagai indikator utama kemajuan menggunakan petunjuk-petunjuk prestasi utama (KPIs) dalam mencapai dan memperlengkap universiti dengan cabaran keperluan pendidikan di alaf ini. Malangnya sesetengah universiti merangka strategi khusus bagi mencapai KPIs mereka tanpa mengambil kira kekangan sumber-sumber yang ada. Secara khususnya, kos dan kos marginal ke arah pencapaian KPIs kurang diberi tumpuan. Justeru, kajian ini mencadangkan pelaksanaan program analisis marginal bajet terlaras (PBMA terlaras), satu pendekatan yang digunapakai dengan sedikit pengubahsuaian pada PBMA yang sedia ada, untuk mengimbangi keduadua output kewangan dan kualiti secara telus ke arah peruntukan bajet sedia ada yang lebih baik bagi mencapai KPIs. Pertamanya, persamaan di antara langkah-langkah di bawah PBMA dan langkah-langkah yang telibat dalam merangka pelan strategik bagi sesebuah universiti dikenalpasti. Kemudian, beberapa pengubahsuaian dilakukan dengan mencadangkan penggunaan kos marginal dan analisis kos akibat bagi menggantikan pendekatan kualitatif sedia ada dalam menentukan keutamaan strategi, serta penggunaan model pengaturcaraan integer (Model IP) untuk proses pengagihan bajet. Hasilnya adalah satu cadangan model yang baharu iaitu PBMA terlaras. Untuk mengilustrasi kebolehgunaan model PBMA terlaras ini, satu kajian kes berkaitan agenda pembangunan pelajar di Universiti Utara Malaysia bagi mencapai tahap enam bintang dalam penarafan SETARA telah dilaksanakan. Enam model IP yang sesuai telah dibentuk. Keputusan optimum telah diperoleh, dibincang, dan dibuat perbandingan. PBMA terlaras ini adalah bermanfaat dan sesuai untuk organisasi-organisasi berorientasikan program yang berKPIs dan mempunyai bajet yang terhad
Open Access
COMPARATIVE ANALYSIS OF AUTOREGRESSIVE INTEGRATED MOVING AVERAGES MODEL ON RESAMPLED AND NON-RESAMPLED INFLATION TIME SERIES DATA FOR FORECASTING.
(DEPARTMENT OF STATISTICS FACULTY OF NATURAL AND APPLIED SCIENCES NASARAWA STATE UNIVERSITY, KEFFI, 2018-08-16) David, Peter Oaya
The study compared the efficiency of establishing of variance obtained from Autoregressive Integrated Moving Averages (ARIMA) model for resampled inflation time series and actual inflation time series. Using the Akaike Information Criterion (AIC), most efficient forecast was obtained. Results shows that the models fit on resampled inflation series produced higher AICs than the actual data. Thus the models fit on the actual data are considered better for forecast.
Open Access
A COMPARATIVE STUDY OF ARIMA AND ARFIMA IN THE PRESENCE OF AUTOCORRELATED ERROR TERMS
(DEPARTMENT OF STATISTICS FACULTY OF NATURAL AND APPLIED SCIENCES NASARAWA STATE UNIVERSITY, KEFFI, 2018-08-03) Bulus, Ezekiel Awhigbo
This research explored the ARIMA and ARFIMA modeling under autocorrelated error terms with two distributions namely, normal and uniform distribution. The study revealed that between ARFIMA and ARIMA, ARFIMA is best for long memory in this regard. The study use data of Inflation rate and Exchange rate of Nigeria from 1987 to 2016 collected from Central Bank of Nigeria statistical bulletin and it further revealed that ARFIMA model has the lowest AIC and BIC values which align with the simulation analysis. More so, the study shows that ARFMA (1, 0.14, 0) can account for long memory for the inflation rate with normal distribution compare to ARIMA (1, 1, 0) whereas, ARFIMA (1, 0.15, 0) model can account for Long memory for uniform distribution compare to ARIMA (1, 1, 0) model of the same distribution. ARFIMA (1, 4.5 X 10-5, 0) model can account for long memory of Exchange rate with normal distribution compare to ARIMA (1, 1, 0) model of the same distribution and ARFIMA (1, 4.5 X 10-5, 0), can account for long memory with uniform distribution compare to ARIMA (1, 1, 0) model of the same distribution.
Open Access
COMPARISON OF VARIANCE OF DIFFERENCE MEANS IN YIELDS OF SOME SELECTED CROPS IN BENUE STATE
(Department of Statistics,Nasarawa State University Keffi., 2018-09-10) Anna, Iyefu Joshua.
This project work set out to investigate the variation of mean yield of some selected crops (Maize, Rice, Sorghum, Cowpea and Soya Beans). The data for this project which is a secondary data was gotten from Benue Agricultural and Rural Development Agency (BENARDA). The statistical method used to analysis the data was multivariate analysis of variance (MANOVA) using the Wilk‟s lambda, simultaneous confidence interval and the profile plot. The results and findings revealed that there actually exist amount the mean yields of the crops. the recommendation was that the government of Benue should seek out ways to help the farmers improve in the production of tier crops across the two tones (locations) respectively.
Open Access
META-ANALYSI ON THE RISK OF MORTALITY IN PERSON WITH EBOLA VIRUS DISEASE.
(DEPARTMENT OF STATISTICS FACULTY OF NATURAL AND APPLIED SCIENCES NASARAWA STATE UNIVERSITY, KEFFI, 2019-12-03) Olubusuyi, Oluwabunmi Faluyi
The Ebola virus disease outbreak that started in western Africa in 2013 was unprecedented because it spread within densely populated urban environment and affected thousands of people. As a result, previous advice and guidelines need to be critically received, especially with regard to transmission risk in different contexts. A total of 20 reports were selected from 634 found in the initial search. Data were extracted from eligible articles and summarized narratively with partial Meta-Analysis. Eight papers gave numerical odds for contracting filovirus illness; 67 further articles provided supporting anecdotal observations about how transmission probably occurred for individuals. Many forms of contact (conversation, sharing a meal, sharing a bed, direct or indirect touching) were unlikely to result in disease transmission during incubation or early illness. Among household contacts who reported directly touching a case, the attack rate was 23% [95% confidence interval (CI) 26-38%]. Risk of disease transmission between household members without direct contact was low (1%; 95% CI 0-5%). Caring for a case in the community, especially until death, and participation in traditional funeral rites were strongly associated with acquiring disease, probably due to a high degree of direct physical contact with case or cadaver. Transmission of filo virus in unlikely except through close contact, especially during the most severe stages of acute illness. More data were needed about the context, intimacy and timing of contact required to raise the odds of disease transmission. Risk of factors specific to urban settings may need to be determined
Open Access
META-ANALYSI ON THE RISK OF MORTALITY IN PERSON WITH EBOLA VIRUS DISEASE. (1976-2014)
(DEPARTMENT OF STATISTICS FACULTY OF NATURAL AND APPLIED SCIENCES NASARAWA STATE UNIVERSITY, KEFFI, 2019-12-11) Olubusuyi, Oluwabunmi faluyi
The Ebola virus disease outbreak that started in western Africa in 2013 was unprecedented because it spread within densely populated urban environment and affected thousands of people. As a result, previous advice and guidelines need to be critically received, especially with regard to transmission risk in different contexts. A total of 20 reports were selected from 634 found in the initial search. Data were extracted from eligible articles and summarized narratively with partial Meta-Analysis. Eight papers gave numerical odds for contracting filovirus illness; 67 further articles provided supporting anecdotal observations about how transmission probably occurred for individuals. Many forms of contact (conversation, sharing a meal, sharing a bed, direct or indirect touching) were unlikely to result in disease transmission during incubation or early illness. Among household contacts who reported directly touching a case, the attack rate was 23% [95% confidence interval (CI) 26-38%]. Risk of disease transmission between household members without direct contact was low (1%; 95% CI 0-5%). Caring for a case in the community, especially until death, and participation in traditional funeral rites were strongly associated with acquiring disease, probably due to a high degree of direct physical contact with case or cadaver. Transmission of filovirus in unlikely except through close contact, especially during the most severe stages of acute illness. More data were needed about the context, intimacy and timing of contact required to raise the odds of disease transmission. Risk of factors specific to urban settings may need to be determined
Open Access
MODELLING INFLATION RATE AS A FUNCTION OF INTEREST RATE, EXCHANGE RATE AND FUEL PRICE IN NIGERIA USING AUTOREGRESSIVE DISTRIBUTED LAG MODEL
(DEPARTMENT OF STATISTICS FACULTY OF NATURAL AND APPLIED SCIENCE, NASARAWA STATE UNIVERSITY, KEFFI,, 2019-12-11) Haruna, Muhammed.
High rate of inflation and hyperinflation are described as economic situation when an increase in the money supply is growing faster than the new production of goods and services in the economy. This study investigated the determinants of inflation in Nigeria using Autoregressive Distributed Lag (ARDL) Model. Annual data from 1982 to 2016 was collected from Central Bank of Nigeria (CBN) statistical bulletin on inflation rate, exchange rate, interest rate and fuel price. Evidence from the Augmented Dickey Fuller (ADF) test revealed that inflation and interest rates are stationary at level while exchange rate and fuel price are stationary at first difference. ARDL(1,2,2,2) model, i.e. lag 1 for inflation rate, lag 2 for interest rate, lag 2 for exchange rate and lag 2 for fuel price respectively was emerged as the optimal model among competing ARDL models using Akaike Information Criterion (AIC). Bounding testing suggested long run relationship among the macroeconomic variables. Furthermore, the long run relationships revealed that interest rate and fuel price are positively related to inflation rate but only interest was significant while exchange rate is negatively and significantly related to inflation in Nigeria. Some short run relationships were presented in the short run ARDL model and the ECM coefficient was -1.653343 (p-value=0.000<0.05) which means the speed of the rate of adjustment at the previous year is very high of about 165.33%. The estimated ARDL model was free from serial correlation and heteroscedasticity problems while the residual was normally distributed and the model shown a stable process. This study recommended that economy policy that support low interest rate and fuel price should be implemented in order to reduce the burden of inflation rate on the Nigerian Economy
Open Access
POISSON AND NEGATIVE BINOMIAL REGRESSION MODELS ON ROAD TRAFFIC CRASH (A CASE KEFFI-LAFIA ROAD) 2006- 2015
(DEPARTMENT OF STATISTICS , NASARAWA STATE UNIVERSITY, KEFFI,, 2018-08-12) ISHAKU, AYUBA
Open Access
PREVALENCE OF HYPERTENSION AND RISK FACTORS AMONG ADULTS USING ORDINAL LOGISTIC REGRESSION MODEL
(DEPARTMENT OF STATISTIC, NASARAWA STATE UNIVERSITY KEFFI, 2019-12-12) Owoicholofu, Daniel John
The prevalence of hypertension is rapidly increasing around the world, despite intervention programmes implemented, this study aimed at estimating the prevalence rate, testing the association between hypertension and risk factors and modelling hypertension rate. Data used was obtained from the health record of Federal Medical Centre, Keffi from January 2016 – January 2019. Ordinal logistic regression model was used to analyse the data set; Model Fitting Information, Goodness-of-Fit, Pseudo R-Square and Test of Parallel Lines are fitted to the data sets to test the accuracy and correctness of the model. The results indicated that the overall prevalence of hypertension rate is high at 36.4%, among the adult population, body mass index and gender are statistically significant, and Age is not significant in the study. Individuals that are overweight are more likely to be hypertensive compare to other weights at 50.8%. At age 40 – 49 years which have the highest rate of 26.5% and the odd ratio is 0.75 compared to others. One year increase in age 30 – 39, the cumulative odd of being hypertensive is 0.91 while other independent variables are held constant. The odd ratio of female being hypertensive is 0.85 compare to that of male, a total of 54.4% female are hypertensive compared to males at 45.6%, therefore the females are more likely to be hypertensive compared to the males. There is no presence of multicolinearity among the variables and Logit models were formulated to calculate probabilities of the various possible outcomes
Open Access
SEASONAL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE MODELLING AND FORECASTING OF INFLATION RATES IN NIGERIA
(DEPARTMENT OF STATISTICS FACULTY OF NATURAL AND APPLIED SCIENCE, NASARAWA STATE UNIVERSITY, KEFFI,, 2019-12-12) Odunukwe, Adaora Darlingtina
Nigeria faces a macroeconomic problem of inflation for a long period of time. The problem somehow slows down the economic growth in this country. As we all know, inflation is one of the major economic challenges facing most countries in the world especially those in Africa including Nigeria. Therefore, forecasting inflation rates in Nigeria becomes very important for the government to design economic strategies or effective monetary policies to combat any unexpected high inflation in the country. This study utilizes seasonal autoregressive integrated moving average model (SARIMA) to forecast inflation rates in Nigeria. Using monthly inflation data from January 1999 to December 2018, we discover that SARIMA ( ) ( ) can represent very well the data behaviour of inflation rate in Nigeria. Based on the selected model i.e. SARIMA ( 1,1,1) (0,0,1) we obtained at twelve (12) month forecast of inflation rates in Nigeria outside the sample period (i.e. from January 2019 to December 2019). The forecast results show a decreasing pattern and the accuracy of forecasts measure showed that the Mean Absolute Percentage Error (MAPE) is 3.56% and Theil‟s inequality coefficient (U-statistic) is 0.018
Open Access
SIMULATION STUDY OF ERROR CORRECTION MODEL AND AUTOREGRESSIVE DISTRIBUTED LAG MODEL FOR SKEWED DISTRIBUTIONS.
(DEPARTMENT OF STATISTICS FACULTY OF NATURAL AND APPLIED SCIENCE, NASARAWA STATE UNIVERSITY, KEFFI,, 2018-08-04) Alemho, Joseph Elekhekhatse
This study performed simulation study of the Error Correction Model (ECM) and Autoregressive Distributed Lag (ARDL) Model on non-normally distributed data with the aim of comparing the performances. The study utilized both simulated data and the real life data on inflation rate and unemployment rate in Nigeria from a period of 1981 to 2016. Data was simulated from the uniform and exponential distribution. The Augmented-Dickey Fuller (ADF) test the real life data revealed that inflation and unemployment are stationary at first difference while cointegration test and bound testing revealed an existence of long run relationship between the macroeconomic variables. The study revealed that the ARDL model outperforms the ECM model for both the real life data and simulated data and that there is evidence of both short and long run relationship between inflation rate and unemployment rate in Nigeria. It also revealed that there is causality relationship between inflation rate and unemployment rate. The study therefore recommended that the Central Bank of Nigeria should pursue monetary policy that is consistent with the maintenance of a realistic and stable inflation rate in order to reduce the unemployment rate in Nigeria and the government should formulates adequate economic policies to stimulates and sustain the economic growth.
Open Access
STATISTICAL ANALYSIS OF REPORTED CASES OF HYPERTENSIVE PATIENTS AT MEDICAL CENTRE, MARARABA GURKU.
(Department of Statistics,Nasarawa State University Keffi., 2018-09-10) Ogbu, Emmanuel Chisom.
This thesis will investigates the relationship between the two hypertensive condition (systolic and diastolic) in relation to age, body mass index, blood sugar and urine sugar of the patient. The data were obtained from Medical Centre Mararaba Gurku, Karu L.G.A, Nasarawa State. The coefficient of correlation (r=0.462) shows that there exist weak positive relationship between systolic hypertensive condition and the parameter used as indices to check the pandemic. The correlation result reveals that systolic versus body mass index, systolic versus blood sugar, systolic versus urine sugar have weak positive association that systolic hypertension versus age patient shows there exist weak negative association between them. The coefficient of determination R-square (0. 404) shows that 40.0% of variation in systolic hypertension condition has been explained by the parameters used as indices. (age body mass index blood sugar and urine sugar), the correlation result reveals that the diastolic versus blood sugar, diastolic versus urine sugar are weakly associated but between, Diastolic hypertensive versus body mass index of patient indicate there exist weak negative association between them. The coefficient of determination R-square are (0.550) indicate that 55% in diastolic hypertension condition has been explained by the parameters used as indices (age body mass index blood sugar and urine sugar.
Open Access
STATISTICAL ANALYSIS OF ROAD CRASHES IN NIGERIA [A CASE STUDY OF LAFIA MAKURDI HIGHWAY]
(Department of Statistics,Nasarawa State University Keffi., 2018-08-12) Suleian, Umar
This project examines the reported cases of road crashes in Nigeria using Lafia – Makurdi road as a case study for the period of 2002 to 2016. The method used in the data collection was secondary method. Time series and t- test were used to analyze the data. The result of the analysis showed that there is decrease in reported cases of cars crashes and increase in reported cases of buses clashes. From the t- test, it shows that there is significant difference between the reported cases of cars and buses that have crashes. It is therefore , recommended that; the Government should extend the road safety campaigns to every nook and cranny, as this will enlighten our people more on the risk of not maintaining discipline on the road when driving, the construction of Lafia - Markudi double lane should be done as a matter of urgency in other to reduce the rate of road crashes in that area, and visible traffic sign code should be placed in strategic area to help instruct road users.
Open Access
STATISTICAL ANALYSIS OF SOME DEMOGRAPHIC PROBLEMS IN ZANGON KATAF LOCAL GOVERNMENT OF KADUNA STATE
(Department of Statistics,Nasarawa State University Keffi., 2018-09-10) Jonah, Justus Yusuf.
This study is focused on Statistical Analysis of Some Demographic Problems in Zangon Kataf Local Government of Kaduna State using women age structure of child bearing age (15-49). Their mortality trend using descriptive statistics was also examined. Data used in the study was collected from general hospital in Zangon-Kataf LGA with emphasis on maternal and infant mortality rate. Regression analysis (Multiple regression) was computed. The result obtained revealed that the rate of infant and maternal mortality is fluctuating comparing the rate from 2008 to 2017. The general fertility rate was high in all years, but higher in 2016(1469.4). The age specific death rate was found low mostly within the age, 20-24, and 25-29 and high mostly within age 40+. The post-neonatal mortality rate was also found to be high in most cases compared to neonatal mortality rate except in 2008, 2009, 2010 and 2015 where neonatal mortality rate was higher.
Open Access
STATISTICAL ANALYSIS OF THE EFFECT OF RAINFALL AND TEMPERATURE VARIABILITY ON SELECTED TUBER CROPS IN NIGERIA
(DEPARTMENT OF STATISTICS FACULTY OF NATURAL AND APPLIED SCIENCE, NASARAWA STATE UNIVERSITY, KEFFI,, 2019-10-14) Aminu, Asambe Dantani
This study on statistical analysis employed vector error correction (VEC) model to identify the effect of climatic variability on agricultural crops production in Nigeria. Johanson co-integration test is used to investigate the existence of long run relationship among climate variables and crop production. Argumented Dickey Fuller (ADF) test was used to establish the integration order of the climate variables and crops production. The secondary data was obtain from NBS and World Bank website from 1980 to 2017. The outcome of this research shows that all the variables are stationary at first difference. (Johanson co-integration test, show a long – run relationship), hence the VECM revealed that rainfall and temperature have a positive effect on cassava production, cocoyam and yam. Hence the study concludes that high temperature and rainfall will improve the productions of cassava, cocoyam and yam in Nigeri