1) Principal Component Analysis of Students’ Academic Performance in Mathematics and Statistics.
Author’s Details: (1)E. A Aboagye- Department of Mathematics and Statistics, Takoradi polytechnic P. O.BOX 256, Takoradi Ghana- West Africa (2)C. A Mensah-Department of Mathematics and Statistics Takoradi Polytechnic P. O.BOX 256, Takoradi Ghana- West Africa

Abstract
This study seeks to identify a basis of assessments of students’ performance in the Department of Mathematics and Statistics of University of Cape Coast. Data on level 300 students in the Department of Mathematics and Statistics of the 2013/2014 academic year was obtained. These covered ten courses, four of which are mathematics courses and the remaining six (6), statistics. The ten subjects served as variables to be studied each with several observations that are the grades of students in the various courses.  Principal Component Analysis was used to analyse the data. This technique is used since the Principal components generated could serve as indices of measuring the students’ performance. From the analysis, three principal components were retained as rules or indices for classification of students’ performance. The first principal component was used to classify overall performance of students as good, average, below average or excellent. The second principal component was used to classify students on semester basis. That is whether or not the students perform well in either of the semester or both. It was observed that the third principal component can be used to classify the performance of students on subjects’ basis. This can either be mathematics or statistics inclined. Thus using the three principal components it was further observed that majority of students exhibited uniform but just average performance in both subjects and in both semesters. A few showed specific strengths in either of the two subjects. This study confirms the notion that only a few students could major in only one subject in the department with greater success.

Key Words: Principal Component Analysis,Academic Performance, Mathematics and Statistics
[Download Full Paper] [Page 01-10]

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2) Comparative Analysis of Patient Satisfaction between Private and Public Hospital.
Author’s Details: (1) Francis Ayiah- Mensah – (2)Michael Asirifi Kwabena – (3)Mohammed Sherif

Abstract
The Health of the individuals in a nation contributes to the Wealth and Good of the nation. Health care (or healthcare) is the diagnosis, treatment, and prevention of disease, illness and other physical and mental impairments in human. Quality in health can be explained as the difference between patient expectations and perceptions; expectation means service provider performance during deliverance of services whereas perception is measurement of delivery by the service provider. The study comparesthe patients satisfaction between private and public hospital”. The study was limited to Bawku Presbyterian hospital and Case Medical Centre in the Upper East Region of Ghana. The researcher use only primary source of data.
The objective was to compare the relationships between patients and medical staffs in public and private hospitals.To determine if there are difference in the diagnostic service in public and private hospitals and evaluate the difference in diagnostic facilities in public and private hospitals.The research used convenience sampling technique in the sample selection. Independent sampling T-test was the main analytical tool used in analysing the data.
Findings indicate that, the private hospital delivers quality healthcare than the public hospital. And it was recommended that The management of public hospital  and private hospital should provide enough diagnostic facilities and ensure the proper maintenance of the existing ones. They also improve on the relationship they have with their patients. This would also reduce the negative perceptions patient’s holds in both hospitals in the municipality.
Keywords: Hospital, Healthcare,Relationship
, Diagnostic service,Diagnostic facilities
[Download Full Paper] [Page 11-20]

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