SYLLABUS MAN 5004
STATISTICS FOR BUSINESS DECISION
3 CREDIT UNITS (PRE-MBA)
COURSE DESCRIPTION
Fueled by the wide development of information technology, statistical methods have emerged in recent years as one of the fundamental tools for business decision support, making and assessment in the context of modern management science. Since the nature of economic and business phenomena is clearly stochastic and the need for a scientific approach is becoming more and more necessary, statistical analysis has become an integral part of every aspect of theoretical and applied research in business.
LEARNING OBJECTIVES
After completion of this course, students are expected to:
- Have a basic knowledge of various statistical methods used in making business
- Make business decisions based on the most appropriate statistical
- Choose and use the most appropriate statistical methods in conducting business research to decision- making as well as for writing a
MAIN TEXTBOOK
- Lind, D.A., Marchal, W.G., and Wathen, S.A. (2018). Statistical Techniques in Business and Economics, 16th Edition. McGraw-Hill Companies Inc., New York. (LMW)
ADDITIONAL READING MATERIALS
Relevant journals & cases.
LEARNING METHOD
This method is a particular type of learning methods under the student-centered learning (SCL) paradigm. In this approach, students are active learners to find and construct their own knowledge. The instructor serves only as a facilitator to help students achieve learning objectives and develop interpersonal skills. The class time will be devoted to discuss any concepts, materials, and or issues in the subject.
EVALUATION METHOD
- Mid-term Exam (20%)
- Final Exam (20%)
- Presentation, Discussion and Participation (30%)
- Assignment (Paper, Quiz, ) (30%)
COURSE SESSIONS
The course Statistics for Business Decision weighs 3 credit units which is held in 14 sessions of lectures and 2 sessions of exams @ 150 minutes for regular class and 12 sessions of lectures and 2 sessions of exams @ 180 minutes for the executive class.
| Session | Topic | Reading Materials |
| 1 | Review of statistical concepts | LMW (Ch. 1, Ch. 2) |
| 2 | Descriptive statistics and index number | LMW (Ch. 3, Ch. 4, Ch.17) |
| 3 | Probability distribution 1 | LMW (Ch. 5, Ch. 6) |
| 4 | Probability distribution 2 | LMW (Ch. 7) |
| 5 | Estimation and sampling | LMW (Ch. 8, Ch. 9) |
| 6 | Simple linear regression and correlation | LMW (Ch. 13) |
| 7 | Multiple regression | LMW (Ch. 14) |
| Mid-Term Exam | ||
| 8 | One-sample hypothesis testing | LMW (Ch. 10) |
| 9 | Two-sample hypothesis testing | LMW (Ch. 11) |
| 10 | Analysis of variance | LMW (Ch. 12) |
| 11 | Chi-square test | LMW (Ch. 15) |
| 12 | Nonparametric statistics | LMW (Ch. 16) |
| 13 | Time series analysis | LMW (Ch. 18) |
| 14 | Fundamental of business forecasting | LMW (Ch. 18) |
| Final Exam | ||