صفحة عضو هيئة التدريس

The module examines the specification of econometric models and their estimation and testing using available data. It considers the nature of economic data, the methods by which these data are compiled and the problems they may present for the econometrician. It teaches both techniques of estimation together with methods for testing and evaluating results. Emphasis is placed on providing you with practical experience of working with actual economic data sets and using a standard econometric package (i.e. STATA) for data analysis.

The module examines the specification of econometric models and their estimation and testing using available data. It considers the nature of economic data, the methods by which these data are compiled and the problems they may present for the econometrician. It teaches both techniques of estimation together with methods for testing and evaluating results. Emphasis is placed on providing you with practical experience of working with actual economic data sets and using a standard econometric package (i.e. STATA) for data analysis.

The module examines the specification of econometric models and their estimation and testing using available data. It considers the nature of economic data, the methods by which these data are compiled and the problems they may present for the econometrician. It teaches both techniques of estimation together with methods for testing and evaluating results. Emphasis is placed on providing you with practical experience of working with actual economic data sets and using a standard econometric package (i.e. STATA) for data analysis.

Business Statistics is the science of collecting, exploring, and presenting large amounts of data to discover underlying patterns and trends. Statistics are applied in research, industry, and government to assist business decision-making under uncertainties based on some numerical and measurable scales. This course will strengthen students’ understanding of statistical concepts and develop their skills to use statistical tools and apply selected inferential statistical methods in the fields of economics and business. The course will focus on a review of distributions with an emphasis on the normal distribution. Sampling distribution for the means, proportion, sampling distribution of the difference between two means and proportions, estimation of population parameters, tests of statistical hypothesis using the mean, proportion, and difference between two means, difference between proportions and the ratio of two variances (F-distribution) and estimation of the Simple Linear Regression and multiple correlation. Delivery will be via a combination of lectures, in-class activities, and individual exercises

The module examines the specification of econometric models and their estimation and testing using available data. It considers the nature of economic data, the methods by which these data are compiled and the problems they may present for the econometrician. It teaches both techniques of estimation together with methods for testing and evaluating results. Emphasis is placed on providing you with practical experience of working with actual economic data sets and using a standard econometric package (i.e. STATA) for data analysis.

Business Statistics is the science of collecting, exploring, and presenting large amounts of data to discover underlying patterns and trends. Statistics are applied in research, industry, and government to assist business decision-making under uncertainties based on some numerical and measurable scales. This course will strengthen students’ understanding of statistical concepts and develop their skills to use statistical tools and apply selected inferential statistical methods in the fields of economics and business. The course will focus on a review of distributions with an emphasis on the normal distribution. Sampling distribution for the means, proportion, sampling distribution of the difference between two means and proportions, estimation of population parameters, tests of statistical hypothesis using the mean, proportion, and difference between two means, difference between proportions and the ratio of two variances (F-distribution) and estimation of the Simple Linear Regression and multiple correlation. Delivery will be via a combination of lectures, in-class activities, and individual exercises