TECHNIQUES FOR STATISTICAL ANALYSIS
- Course
- BUSN595 - TECHNIQUES FOR STATISTICAL ANALYSIS
- Department
- Master of Business Administration - English - Master
- Course Type
- Course
- Status
- Required
- Language
- English
- Credit
- 3
- ECTS
- 0
- T+P+L
- 3 + 0 + 0
- Course Coordinator(s)
- -
- Prerequisite
- -
- Keywords
- -
Course Description
-
TECHNIQUES FOR STATISTICAL ANALYSIS
Evaluation Tools (Active Term)
No evaluation items have been defined.
Course outcomes
- 01 define statistical applications for business and economics.
- 02 discuss the elementary concept of probability theory and also sampling theory
- 03 construct probability models with an emphasis on discrete random variables.
- 04 pply methods for continuous random variables and probability distributions and predicting approximations.
- 05 interpret based on a Single Sample: Estimation with Confidence Intervals.
- 06 nterpret based on a Single Sample: Estimation with Confidence Intervals.
Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | Statistics, Data |
| Week 2 | Methods for Describing Sets of Data |
| Week 3 | Sampling and sampling Distribution |
| Week 4 | Probability |
| Week 5 | Probability |
| Week 6 | Practical cases/Quiz |
| Week 7 | midterm |
| Week 8 | midterm |
| Week 9 | Discrete Random Variables and Probability Distribution |
| Week 10 | Continous Random Variables and Probability Distribution |
| Week 11 | Hypothesis testing:Single Population |
| Week 12 | Hypothesis testing: Two Population |
| Week 13 | Practical cases/Quiz |
| Week 14 | Final exam |
| Week 15 | Final exam |
Reference Books & Course Materials
- 01 Statistics for business and economics (2013) Paul Newbold, William L. Carlson, Betty M. Thorne.—8th ed
- 02 Freedman, D. A. (1985). Statistics and the scientific method. In Cohort analysis in social research (pp. 343-366). Springer, New York, NY.
Learning Outcomes
- L01 define statistical applications for business and economics.
- L02 discuss the elementary concept of probability theory and also sampling theory
- L03 construct probability models with an emphasis on discrete random variables.
- L04 pply methods for continuous random variables and probability distributions and predicting approximations.
- L05 interpret based on a Single Sample: Estimation with Confidence Intervals.
- L06 nterpret based on a Single Sample: Estimation with Confidence Intervals.
Program Outcomes
- P01 PO1 Been able to demonstrate their learned skills and knowledge regarding business related issues and research which they can use continuously in their personal and business life.
- P02 PO2 Obtained theoretical and practical information from the courses that allowed students to learn and work independently.
- P03 PO3 Been ensured that they learnt by increasing their level of knowledge and skills which are necessary in their field.
- P04 PO4 Increased their creativity and analytical thinking and developed crucial skills which are needed to be applied both in their studies, research, and future careers.
- P05 PO5 Adopted and implemented ethical principles and moral values regarding the use of technology in their studies and professional lives by creating an awareness on using the technological imperatives.
- P06 PO6 Designed their theoretical and practical knowledge in a way that they could make use of in a collaborative usage and various working contexts.
- P07 PO7 Enrolled in intercultural or international projects which could provide opportunities to develop their skills and implement them successfully in their studies, research and future careers.
- P08 PO8 Improved their communication skills successfully and been able to implement them in various international education, research and work context by increasing their social capital.
- P09 PO9 Been able to implement their learnt knowledge and research skills into practice through scenarios, case studies, empirical articles and real-life observations.
- P10 PO10 Created awareness and developed ethical undertaking by incorporating the learnt theories with environmental approaches to be further implemented into their research and careers.
Po-Lo Matrix
| LO | P01 | P02 | P03 | P04 | P05 | P06 | P07 | P08 | P09 | P10 | Average |
|---|---|---|---|---|---|---|---|---|---|---|---|
| L01 | - | - | - | - | - | - | - | - | - | - | - |
| L02 | - | - | - | - | - | - | - | - | - | - | - |
| L03 | - | - | - | - | - | - | - | - | - | - | - |
| L04 | - | - | - | - | - | - | - | - | - | - | - |
| L05 | - | - | - | - | - | - | - | - | - | - | - |
| L06 | - | - | - | - | - | - | - | - | - | - | - |