Master of Science in Statistics - Main Campus

Permanent URI for this collection

https://testir.kiu.ac.ug/handle/20.500.12306/323

Browse

Browsing Master of Science in Statistics - Main Campus by Title

Now showing 1 - 11 of 11
  • Thumbnail Image
    Item
    Assessing the effects of geographical expansion of Consumer Price Index (CPI) on inflation in Uganda
    (Kampala International University, 2017-05) Kaisiromwe, Sam
    The study details the effects of increasing Consumer Price Index (CPI) geographical coverage on inflation in the country.
  • Thumbnail Image
    Item
    Examining social - economic indicators of maternal mortality in Burundi (2005-2015)
    (Kampala International University, 2017-04) Rumuri, Berny Christian
    The study aimed at examining social - economic indicators that explain mortality rate in Burundi.
  • Thumbnail Image
    Item
    Export of coffee and economic growth in uganda (1985-2014)
    (Kampala International University.School of Engineering Science, 2017-05) Mohamed Ahmed, Essa
    The study aimed at examining the relationship between coffee export earnings and economic growth in Uganda. The objectives were to determine the long run relationship between coffee exports earning and GDP in Uganda from 1985- 2014;To examine the trends of GDP and coffee export in Uganda; to determine the effect of coffee Export on GDP in Uganda from 1985- 2014.The first null hypothesis of the study was; there is no long run relationship between coffee export and economic growth and the second one was; there is no significant effect of coffee export earning on economic growth rate in Uganda for the period from 1985-2014. Ex Post factor research design was adopted. Unit root tests using the Augmented Dickey-Fuller tests were \ carried out to establish if the variables were stationary or not. The findings of ADF tests showed that all the study variables (GDP, coffee export, FDI, and interest rate, inflation and industry) that were non stationary at level became stationary after first differencing. Engel-Granger causality test was used to assess if there is a long run relationship between coffee export earnings and GDP in Uganda. The results from the Engel-Granger test indicate that there exists a long run relationship between the two variables understudy (ADF test statistic = -3.7633>absolute tabulated Engel-Granger statistic = -3.04).Furthermore, line graphs were used to establish the levels of variations that have existed in GDP growth rates and coffee export for the period under study. The findings of graph showed that the trends exhibited fluctuations from time to time. The overall regression model was well specified on the basis of the F-statistic (F 3.0576, p =0.0365) and the coefficient of determination (R-squared =45.8) that was reported by the data, an indication that the model was statistically significant. The study thus concluded that coffee export has a positive significant (p=0.003)effect on economic growth in Uganda as was observed from the regression output and that GDP and coffee export earnings have a long run equilibrium relationship. In line with the research findings, it was thus recommended that the government in power should diversify and promote exports in order to fully exploit the benefits of the sector and promote economic growth. To increase the impact of coffee export on economic growth, concerted effort should be directed toward productive channels of coffee in the economy so as to enhance sustainable economic growth through increased coffee exports. The study also recommended that modern production technologies of coffee must be quickly introduced to upgrade the traditional methods currently used and encouraging large commercial farms through providing new potential land and enforcing the implementation of different export incentives given for the exporters.
  • Thumbnail Image
    Item
    Five - child - killer diseases and under - five mortality in Yola Adamawa state, Nigeria (2001-2015)
    (Kampala International University, 2017-01) Waniyos, Hamidu Umaru
    The study was set to investigate the prevalence of the five - child - killer diseases and under - five mortality.
  • Thumbnail Image
    Item
    Improvement on Arima model forecasts for savings and credit co-operative societies in Wakiso District Uganda (2008 — 2012)
    (Kampala International University,school of Postgraduate studies and research, 2013-12) Luggya, Herbert Sempebwa
    There were five approaches to forecasting based on time series data namely exponential smoothing methods, single equation regression models, simultaneous equation regression model, ARIMA models and VAR models. Since SACCOs dealt with time series data the researcher selected the ARIMA modeling approach in the research. The research was carried out on SACCOs in Wakiso District Uganda. The study specifically addressed the inadequacies of missing data using the Inverse Probability Weighing method and the Round Table Imputation method that was invented by the researcher, the software package designed to handle data for variables with equal and unequal number of observations, run an automated statiEtical tables system that enabled the setting of critical regions for the various statistical tests, carried out the tests for normality, linearity, eteroscedasticity and stationarity in an orderly manner according to the Classical Linear Regression Model and gave conclusions for those tests. The automated system provided seven ARIMA models from which the best fit was selected. The findings of the study were: Round Table Imputation method was found easy to apply and its results were consistent with the expectations, the Inverse Probability Weighting method was also found to be effective, SACCOs were able use the invented EOI to check their effectiveness at a glance and identify the areas of inadequacies, automated statistical tables were used which was convenient to the users to carry out various tests with ease and the availability of conclusions from the tests made the statistical package supportive in making conclusions. In conclusion, missing values in the data whether missing at random or not should be addressed before use for forecasting, unequal observations for the different variables were also considered no longer a hindrance to data analysis, automated statistical tables were useful and eliminated the omission and commission of picking the critical values manually and statistical tests that were carried out before the data was used for forecasting led to better results. It was recommended that when encountered with missing data the reason for missingness should be established and if it was found that the missing was at random remedial measures should be used to fill in the missing data but if the missingness was found not to be at random the missingness component should be included in the forecasting model, users of data that was of time series nature should use statistical computing package such as Herbo Arima which was an improvement of ARIMA data modeling system, the automated system was recommended for those users who may wish to do the forecasting without much ado as to the nature of the data they handled, statistical computing packages should have facility for users to access automated statistical tables to minimize on omission and commission errors and SACCOs should be able to use the Effective Operating Index provided in the computing package to monitor their effectiveness in the market.
  • Thumbnail Image
    Item
    Population Growth and Youth Unemployment in Somalia (1991-2017).
    (KIU. College of Economics and Management., 2018-11) Mohamed, Said Mohamed Alin.
    The purpose of the study was to investigate the relationship between the population growth and youth ~employment in Somalia. The specific objectives of the study were; to examine the long-run relationship, causation, and effect of population growth on youth unemployment rate. The study used a descriptive, correlation and longitudinal design and only employed the Quantitative research approach. study was carried out using secondary data collected from 1991 to 2017. Augmented Dickey filer (ADF), tests were carried out on the variables of population growth rate and youth employment and were found to non-stationary at level but stationary after first difference. integration 4 results of Trace and Maximum Eigenvalue findings showed that there is a long run relationship between population growth and youth unemployment rate. Granger causality tests also dictated that population growth causes youth unemployment in Somalia. A regression model ~compassing all variables under study and the results indicated that population growth impacts on )uth unemployment significantly which means that as population growth increases, youth employment also increases. This can be seen by observing the p-value of population growth which in is case is 0.0170 which is less than 5% significance. The study concluded that there is a Long n relationship between population growth and youth unemployment because there is Co integration ~ong Population growth, Gross domestic product, and Gross capital formation and youth underemployment rate based on findings which confirm the results got from the first tracer rank test and us that there is a long run relationship among population growth, Gross domestic product, and Gross pita formation and youth unemployment. Furthermore, the study concluded that population growth .s also had a relatively small effect on unemployment in Somalia because population growth does anger Cause youth unemployment rate but Unemployment rate does not granger cause population owth. The study concludes that rapid population growth increases various forms of unemployment in ~rnalia and that the lack of investment in infrastructure and subsidy for sectors with potential for ~ating jobs. The study recommends that Government of Somalia should also improve on sensitization d educating the people on population control through teaching them on birth control measures like ild spacing, invest heavily in the private sector through supporting private investors setting up manufacturing companies to employ youths and acquire them with necessary skilling to sustain them in ë and that it should also create an enabling environment for self-employment, job creation and entrepreneurship
  • Thumbnail Image
    Item
    Population growth and youth unemployment in Uganda (1991-2014)
    (Kampala International University, School of Engineering and Apllied Sciences, 2017-05) Said Ahmed, Abdifatah
    This study was motivated by the fact the Uganda has one of the fastest population growth rates in the world accompanied by high unemployment rates thus the study aimed at investigating the relationship between population growth rates and youth unemployment in Uganda (1991 to 2014). The specific objectives of the study were; to find out the long run relationship between the population growth rate and youth unemployment rate in Uganda, to examine the causality between population growth and youth unemployment as well as to determine the effect of population growth rate on youth unemployment rate in Uganda. The hypothesis of the study was; there is no significant relationship between population growth rate and youth unemployment, There is no granger causality between population growth rate and youth unemployment rate in Uganda and there is no significant effect of population growth rate on youth unemployment rate in Uganda. The study was carried out using secondary data collected from 1991 to 2014. Augmented Dickey- Fuller (ADF), tests were carried out on the variables of population growth rate and youth unemployment and were found to non-stationary at level but stationary after first difference. Cointegration results of Trace and Maximum Eigenvalue findings showed that there is no long run relationship between population growth rate and youth unemployment. Granger causality tests also indicated that population growth causes youth unemployment in Uganda. A regression model encompassing all variables under study was developed to help assess how population growth rate in Uganda impacts youth unemployment rate. The results indicate that the independent variables account for 40.3% changes in youth unemployment rate. The overall model was significant on the basis of the F-statistic and the coefficient of determination that was reported by the data. The study concluded that there is appositive significant relationship between population growth rate and youth unemployment as was revealed from the model. Thus having discovered that there is a problem of rampant population growth rate in Uganda; this study recommended that there is need to formulate population control measures like family planning methods that are aimed at reducing that rate at which population of Uganda grows. To encounter the problem of increasing youth unemployment, the study recommended that there should be proper and adequate education system and training facilities that empowers young men and women with skills that make them job creators rather than job seekers.
  • Thumbnail Image
    Item
    Population growth and youth unemployment in Uganda (1991-2014)
    (Kampala International University, 2017-05) Abdifatah, Said Ahmed
    The study investigated the relationship between population growth rates and youth unemployment in Uganda.
  • Thumbnail Image
    Item
    Private sector investment and economic growth in Uganda (1985-2014)
    (Kampala International University, 2017-10) Mohamoud, Abdukadir
    The study aimed at examining the effect of private sector investment and economic growth in Uganda from 1985-2014.
  • Thumbnail Image
    Item
    Resource Availabilty And Maternal Mortality in Budaka District, Uganda
    (School of Engineering and Sciences Engineering., 2012-09) Kawiso , Martin Wilfred.
    This study was set to investigate the relationship between resource availability and maternal mortality in Budaka District, Uganda from 2005 to 2011. The study basically examined secondary data. It was also a descriptive-correlation since it sought to examine the relationship between the independent variables (resource availability) and the dependent variable (maternal mortality). The population of this study was the records on the variables of the study from 2005 to 2011. The study targeted annual reports by the Budaka District health department and Ministry of Health. The study had three (3) objectives and these were; to investigate the level of resource availability in Budaka District, Uganda, to determine the level of maternal mortality in Budaka District, Uganda, and to establish whether there is a significant relationship between the level of resource availability and the level of maternal mortality in the following ways; skilled health personnel and maternal mortality; equipment and maternal mortality; essential supplies and maternal mortality from 2005 to 2011. The study found out that the level of level of resource availability in Budaka district was increasing over time, level of maternal mortality was decreasing over time, and that there was no significant relationship between skilled health personnel and maternal mortality thus; the null hypothesis was accepted basing on the findings, leading to a conclusion that there is no significant relationship between skilled health personnel and maternal mortality. The researcher had a few recommendations thus; Budaka district’s local government together with the central government should put efficient health systems in place that can design public policies, implement, audit and other checks and balances to ensure efficient use of public funds so as to maintain and promote a significant impact on maternal mortality and maternal health. And that Budaka district local government should have a data base system that captures information on health related issues, like births, child mortality, adult mortality (men and women aged 15 — 49), diseases and others. The central government especially ministry of health and Uganda bureau of statistics should have data broke down up to district level instead of having it by region and the whole country.
  • Thumbnail Image
    Item
    Risk Factors For Maternal Mortality: A Case Study Of Federal Medical Center,Katsina State, Nigeria
    (Kampala International University, school of masters of science in statistics, 2015-11) Kabir Kurfi, Usman
    Maternal mortality have been described as one of the foremost and most neglected health problem and human right abused in the world. Maternal mortality is the probability or percentage of mothers dying as a result of pre~-inancy related complications or post-delivery complications every year. The study was to determine the risk factors (maternal education, maternal age at birth and antenatal care visit) associated with maternal mortality at federal medical center Katsina from 1999 to 2O14~The specific objectives were to determine the relationship between maternal education and maternal mortality, to ascertain the level of impact between maternal age at birth and maternal mortality, and also to find out the influence between antenatal care visit and maternal mortality. The logistic regression model was fitted because it allows the estimation of the occurrence of a binary outcome due to the effect of several explanatory factors. The analysis examined the relationship between the selected risk factors and maternal survival status; this is done through the interpretation of odds ratios from logistic regression. The model showed that high maternal mortality is associated with low maternal education, extreme maternal age at birth and low antenatal visits. Therefore in order to reduce maternal mortality government and community has to support girl child education, discourage early pregnancy or marriage and pregnancy 40 years of age and above, finally government and the community has to sensitize the mothers on the importance of antenatal care visits and making free medical service to the mothers in the state.