course outline
BBA / BHTM 300 – STATIATICS II
COURSE DESCRIPTION-STATISTICS-II
Business statistics is a rich interactive learning experience designed to give students the basic intellectual tools and aptitudes they need to meet today’s business challenges The course is also aimed at equipping the students with the skills of real socio-economic processes, economic interpretation of analysed data, its applied statistic analysis, construction, identification and verification of statistical models of the analysed phenomena, computer realization of techniques and methods. Topics to be covered under this course include.
COURSE OBJECTIVES
1. To introduce students to statistical methods;
2. To provide students with the necessary tools to address quantitative problems specific to their fields and
3. To select and use appropriate statistical methods to analyze data.
LEARNING OUTCOMES
1. To appreciate how statistic techniques are used in analyzing qualitative and quantitative data set in modern day business.
2. To know what information are relevant, what analysis or calculation are needed to be performed and how to interpret result.
3. To be able to interpret statistical data and outcomes in business, etc.
4. To be able to link two or more variables together using regression and correlation and also be able to make prediction from a regression line.
5. To be able to record events in the forms of tables and charts, explain and predict what is likely to happen in the future using time series
REQUIED TEXT BOOKS
1. Introduction to statistical methods by Benony K. Gordor.
2. Quantitative method for business decision by Curwin and Roger Slater.
MEASUREMENT OF LEARNING OUTCOMES AND GRADING
Final exam - 60%
Mid-semester exams - 20%
Class assignments - 15%
Class participation - 5%
SCHEDULE OF SESSIONS AND TOPICS SESSION
1. Discrete Probability
COURSE DESCRIPTION-STATISTICS-II
Business statistics is a rich interactive learning experience designed to give students the basic intellectual tools and aptitudes they need to meet today’s business challenges The course is also aimed at equipping the students with the skills of real socio-economic processes, economic interpretation of analysed data, its applied statistic analysis, construction, identification and verification of statistical models of the analysed phenomena, computer realization of techniques and methods. Topics to be covered under this course include.
COURSE OBJECTIVES
1. To introduce students to statistical methods;
2. To provide students with the necessary tools to address quantitative problems specific to their fields and
3. To select and use appropriate statistical methods to analyze data.
LEARNING OUTCOMES
1. To appreciate how statistic techniques are used in analyzing qualitative and quantitative data set in modern day business.
2. To know what information are relevant, what analysis or calculation are needed to be performed and how to interpret result.
3. To be able to interpret statistical data and outcomes in business, etc.
4. To be able to link two or more variables together using regression and correlation and also be able to make prediction from a regression line.
5. To be able to record events in the forms of tables and charts, explain and predict what is likely to happen in the future using time series
REQUIED TEXT BOOKS
1. Introduction to statistical methods by Benony K. Gordor.
2. Quantitative method for business decision by Curwin and Roger Slater.
MEASUREMENT OF LEARNING OUTCOMES AND GRADING
Final exam - 60%
Mid-semester exams - 20%
Class assignments - 15%
Class participation - 5%
SCHEDULE OF SESSIONS AND TOPICS SESSION
1. Discrete Probability