INTERNATIONAL BURCH UNIVERSITY
Graduate Study - Faculty of Economics and Social Sciences
||Quantitative Research Methods
||Number of ECTS Credits
||Class Hours Per Week
||Total Hours Per Semester
||2 + 2
|This course is designed to provide an introduction to statistical methods useful for analyzing data, with specific application to problems of business and economics. The methods examined, however, have general application to a wide range of data analysis. At the end of the class, you will:
(1) understand the fundamentals of uncertainty and risk management,
(2) know how to use methods for estimation and forecasting,
(3) be able combine knowledge of risk and estimation in optimization, and
(4) know how to use the tools of statistical inference.
You will also be expected to learn how to use statistics to think critically about real world issues. Statistical methodology and theory will be presented in an applications context. Ultimately, the goal is to provide you with quantitative tools that can be used in the areas of marketing, financial and managerial accounting, corporate finance, and applied operational methods.
- Introduction, Organizing and Visualizing Data
- Numerical Descriptive Measures
- Basic Probability, Discrete Probability Distributions
- The Normal Distribution and Other Continuous Distributions
- Sampling and Sampling Distributions
- Confidence Interval Estimation
- Fundamentals of Hypothesis Testing: One-Sample Tests
- Two-Sample Tests
- Analysis of Variance
- Chi-Square Tests and Nonparametric Tests
- Simple Linear Regression
- Multiple Regression
- Time-Series Forecasting
- Statistical Applications in Quality Management
- A Roadmap for Analyzing Data
- Practical Sessions
- Case Studies
| Term Paper||25|
| Final Exam||1||50|
- To achieve an understanding of applied statistical and other quantitative methods in the solution of managerial decision making problems.
- To provide enough illustrations of well-known models, so that a student can identify similar situations that may utilize quantitative methods.
- To develop a basic proficiency in working with the more frequent decision making models.
- To learn the mathematical language and notation, in order to facilitate communication with specialists.
- To develop sufficient quantitative preparation for appreciating work done in this area.
- Basic Business Statistics: Concepts and Applications, 12th edition (2012), David Levine, Mark Berenson, and Tim Krehbiel, ISBN 10: 0-13-216838-3, ISBN 13: 978-0-13-216838-0 Prentice Hall.
|ECTS (Allocated based on student) WORKLOAD
|Lecture (14 weeks x Lecture hours per week)||14||3||42|
|Laboratory / Practice (14 weeks x Laboratory/Practice hours per week)|| || ||0|
|Midterm Examination (1 week)||1||3||3|
|Final Examination(1 week)||1||3||3|
|Preparation for Midterm Examination||1||12||12|
|Preparation for Final Examination||1||17||17|
|Assignment / Homework/ Project||10||5||50|
|Seminar / Presentation||1||15||15|