Department of Statistics
http://ugspace.ug.edu.gh/handle/123456789/4862
2018-10-17T08:56:04ZStatistical Modeling Of Performance Of Teacher Education At Distance And Regular Modes
http://ugspace.ug.edu.gh/handle/123456789/23571
Statistical Modeling Of Performance Of Teacher Education At Distance And Regular Modes
Narh, M.
This research looked at “Statistically Modeling Performance of pre-service teachers” by finding the differences in performance and perceptions if any, between students in the regular and distance modes of teacher education in university of Cape Coast. Pre-service teachers of Accra College of Education and the College of “Distance Education” at Papafio hills, both of university of Cape Coast were used as the population of the research. Students who were admitted in the year 2014/2015 academic year were sampled for the study. The total sample of four hundred and fifty five (455) was used for the study. Mixed method which involved the use of both quantitative data collection and qualitative follow-up of administering questionnaire were used in this study. Raw scores of English content, English methodology, Mathematics content, Mathematics methodology, Science content and science methodology were considered as dependent variables whereas category of learning mode with two levels-(regular and distance), was treated as the main independent variable. Variables like gender, age, prior knowledge in mathematics at Senior High level and others were treated as concomitant (blocking) variables. Multivariate Analysis of Variance (MANOVA) and factor analysis were applied. Findings from this showed that differences in means of English content, English methodology, Mathematics content, Mathematics methodology, Science content and Science methodology with regard to category of learning mode were statistically significant with evidence of (p-value <0.001) for regular and distance category. It is therefore recommended that, policy makers should give similar attention if not the same to distance education just as it is done to the regular colleges of Education, so that the differences in performance gap can be closed in the near future.
Thesis (MPhil)
2017-07-01T00:00:00ZStatistical Analysis Of Water Level, Temperature And Humidity Using Cointegrated Vector Autoregression (VAR) Models
http://ugspace.ug.edu.gh/handle/123456789/23568
Statistical Analysis Of Water Level, Temperature And Humidity Using Cointegrated Vector Autoregression (VAR) Models
Appiah, K.I.
The leading climate factors influencing availability of water are; temperature,
relative humidity, precipitation, and evaporation. Water and agricultural production
cycles are indisputably influenced by temperature and relative humidity.
Temperature and relative humidity projections can therefore proficiently be
employed in making decisions when optimal usage of water resources is of interest.
Thus, the current study explored both the “long-run” and “short-run” impact of both
temperature and relative humidity on water level through cointegrated VAR models
with specific application to the Akosombo Dam water level. The quarterly averages
of the daily Akosombo water level, temperature and humidity of its surrounding
was computed from the daily data obtained and it spanned the period January 1980
to December 2014. Seasonal ARIMA models ARIMA(0,1,1)(0,1,1)4 ,
ARIMA(1,0,1)(1,1,1)4 and ARIMA(2,1,1)(1,1,1)4 were estimated using values of
AIC, AICc and BIC for Akosombo Dam water level, temperature, and humidity
respectively. Also, water level was observed to granger causes both temperature
and relative humidity whiles relative humidity also granger causes both water level
and relative humidity. In addition, both water level and temperature responded
positively to the impulse of humidity. The VAR model outperformed the SARIMA
model in forecasting water level, temperature, and relative humidity. Finally, water
level and relative humidity were cointegrated whiles a cointeration relation was
observed between temperature and relative humidity. The rate of adjustment to
equilibrium observed by temperature was very high among the three variables.
Thesis (MPhil)
2017-07-01T00:00:00ZStatistical Analysis Of Factors Influencing The Adoption Of Internet Banking In Ghana: The Customer Perspective
http://ugspace.ug.edu.gh/handle/123456789/23567
Statistical Analysis Of Factors Influencing The Adoption Of Internet Banking In Ghana: The Customer Perspective
Alidu, U.
“Internet banking” is a product offered by commercial banks to enable clients carry out banking transaction at their convenience and at any time. It enables banks to reduce operational cost by reducing the cost of stationary and also number of staff. However, clients of commercial banks in Ghana still prefer conducting transaction at the branches of the banks rather than signing on to internet banking. This is evident in the queues by clients in commercial banks in order to carry out transaction. This study sought to find the factors influencing the adoption of “internet banking”. The study employed “Factor Anlysis” using the “Principal Axis” method of factoring and direct oblimin rotation. A chi-square test of association was performed to determine whether a relationship existed between the demographic factors and adoption of internet banking. Also, the binary logistic regression was used to determine the chance of customer adopting “internet banking” given a factor. A modification to the F statistic, the F ratio with 1000 permutation was used to compare the adoption of “internet banking” local and foreign owned banks. The study found that Trustworthiness, Usefulness, Risk, Accessibility, Ease of use, Assurance in the banks website, Service Visibility, Awareness of benefits of internet banking and Trust in Internet banking influenced the adoption of “internet banking”. Also, banks with “easy to use” platforms were 3.546 more likely to influence clients to adopt “internet banking” controlling for all other factors. There was no difference between the adoption of internet banking for locally owned and foreign owned banks
Thesis (MPhil)
2017-07-01T00:00:00ZModeling The Effect Of The Bagre Dam On The Water Levels Of The Akosombo Dam: Time Series Intervention Analysis
http://ugspace.ug.edu.gh/handle/123456789/23417
Modeling The Effect Of The Bagre Dam On The Water Levels Of The Akosombo Dam: Time Series Intervention Analysis
Ampomah, O.
The water level at a particular time determines the amount of hydro electrical energy
generated by the Akosombo dam. The Akosombo dam serves as the main source of
electrical energy in Ghana. This research work sought to estimate and assess the impact of
the Bagre Dam as an intervention event on the Akosombo Dam. Daily water level data
covering the period 1982 to 2002 which was obtained from the Volta River Authority
(V.R.A), Ghana was used in carrying out this study. Empirical results from the study
indicated that the pre-intervention period of the data could be best modelled with a
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SARIMA 1,1,0 0,1,1 process. Further analysis shows that the residuals of the preintervention
model follows a white noise process. The impact of the intervention event
was estimated to be 0.5052 with a corresponding long term effect of 0.63142. The decay
parameter was estimated to be 0.1999.
However, both the impact and decay parameters were found not to be statistically
significant. We recommend that the Volta River Authority must keep constant
communication with the authorities of the Bagre Dam to ensure that information is
properly circulated whenever they want to spill excess water from the Bagre Dam.
Thesis (MPhil)
2017-06-01T00:00:00Z