Zakari Abubakari

This research used quantitative data in assessing the impact of entrepreneurial intention on self-employment among a cross section of university students in Ghana. The research design implemented consists of an experimental, ex-ante/ex-post, control and longitudinal repeated measures, with a total of up to 254 matched pairs. The theory of planned behavior was employed as the main theoretical model. The results of the binary logistic regression indicate that entrepreneurial intention increases the probability of becoming an entrepreneur. This study has added to further development and application of the theory of planned behavior by supporting the link between entrepreneurial intention and self-employment.

It is always important to determine distribution of insurance claims in order to estimate future expected values. This study seeks to determine the posterior distribution using Bayesian credibility theory. Secondary data collected from Dormaa Municipal Health Insurance Scheme and Dormaa Presbyterian Hospital was analyzed using the Statistical Package for Social Science (SPSS), Excel spreadsheet, and Easy fit by applying Bayesian credibility theory through descriptive analysis and frequency distribution. It was found that the data submitted by 28 health facilities to Dormaa Municipal Health Insurance Scheme follows Normal Distribution and the sample claims from Dormaa Presbyterian Hospital follows lognormal distribution. The posterior distribution for the municipal health Insurance Scheme was also found to be normal distribution.

DOI: 10.21276/sb.2017.3.9.3 Abstract: It is always important to determine distribution of insurance claims in order to estimate future expected values. This study seeks to determine the normality fit to the population data of health insurance. Secondary data collected from Dormaa Municipal Health Insurance Scheme and Dormaa Presbyterian Hospital was analyzed using the Statistical Package for Social Science (SPSS), Excel spreadsheet, and Easy fit. It was found that the population data submitted by 28 health facilities to Dormaa Municipal Health Insurance Scheme follows normal distribution.

DOI: 10.21276/sb.2017.3.12.18 Abstract: It is always important to determine the distribution of insurance claims in order to estimate future expected values. This study seeks to determine the appropriate best fit model using sample data from Dormaa Health Insurance Directorate. Sample data collected from Dormaa Presbyterian Hospital of the Dormaa Municipal Health Insurance Scheme was analyzed using the Statistical Package for Social Science (SPSS), Excel spreadsheet, and Easy fit. It was found that the appropriate best fit model for the sample claims of the Dormaa Presbyterian Hospital follows lognormal distribution.