ABSTRACT The problem of spurious correlation analysis, e.g. Pearson moment-product correlation test is that the data need to be normally distributed. This research work compares spurious correlation methods using some non-normal probability distributions in order to obtain the method with the best degree of association among them. The methods were compared using proportions of rejecting true null hypothesis obtained from t and z test statistics for testing correlation coefficients. Data ...
ABSTRACT The study looks at identification of outstanding and abysmal performances of students in examinations involving seven common subjects taken in the first year at Ghana Senior High School in Koforidua. The scores of the students, who were grouped into six different program classes, in the seven subjects constituted the data for the study. In order to achieve the objective of the study using this high dimensional data set, a multivariate data analysis technique (the Principal Componen...
ABSTRACT This study is about diseases reported at the outpatient departments (OPD) in the Greater Accra Region. The objectives of this study was to find the trend of the various diseases reported at the Outpatient Departments, forecast 2007 reported diseases and finally, to identify the most reported disease(s) within the period. Data was obtained from the Adabraka Polyclinic which is the coordinating center for the region's health statistics. The data covered the period 1996 to 2006. Trend ...
ABSTRACT The study was to determine beneficiary community members’ expectation of the benefits of social development projects in Education Rights, Gender and Women’s Rights and Food Rights. Sixteen criteria were gotten, initially, using participatory rural appraisal. These were included in the basic information section of a questionnaire. The questionnaire also sought classification and identification information of respondents. It was administered to one hundred respondents selected thr...
ABSTRACT This dissertation is a report on efforts directed at finding the leading diseases, patterns and other characteristics of four kinds of data: Monthly Outpatient Morbidity Data, Statement Of Outpatients, Statement Of Inpatients and the Monthly Bed State Data of Kwesimintsim Polyclinic. The data spans the six-year period of 1997 to 2002. The analysis of the data relied on descriptive statistics and time series analysis. Projected values ofthe number of cases of the diseases to be repor...
ABSTRACT The objective of this study has been to determine the major underlying factors that influence the choice of senior high schools. To this end, a survey of 510 BECE candidates in Junior High Schools in Nungua, a community in Accra, was conducted. The students were asked to indicate their opinions on twenty seven variables on a five-point Likert scale. The data generated from the survey were multivariate in structure since 27 variables were recorded on 510 respondents. Factor analysis, ...
ABSTRACT In this dissertation, Markov chain was used to model the rainfall pattern and sunshine duration for three regional capitals in Ghana (Tamale, Kumasi and Accra). Data on mean monthly averages and daily figures of measured parameters (sunshine duration and rainfall) for five years were used. To achieve these goals, a statistical basis was presented before adopting the three main approaches for modeling. Transition Matrix shows the short-run behavior of Markov chain; the steady-state pr...
ABSTRACT The poor are not evenly distributed within the country and they do not share the same socio-economic and demographic characteristics. It is against this background that analysis of the characteristics that differentiate the poor from the non-poor in Ghana cannot be underestimated. Poverty indicators make it possible to analyze the likely determinants and are, therefore, essential for formulating policy interventions that may contribute directly or ...
ABSRACT The Kenyan CPI data for the period January 2000 to December 2017, obtained from the KNBS website, was the variable of interest, modelled as a time series variable. R was the package used for analysis. Descriptive statistics such as the mean, median, ACF, PACF, time series plots, histograms, lagged scatter plots and qqplots were employed to assess the non-stationarity of CPI after which appropriate smoothing techniques such as differencing were made use of to detrend the data. Formally...