This course will help students gain an understanding of elementary probability theory and how to apply it to analyze statistical problems. It also provides an opportunity for students to see how various mathematical knowledge and techniques which they have learned in different courses unite together to serve a common purpose.
Prerequisite(s)
Course Code Course Name…
Corequisite(s)
Course Code Course Name…
Special Requisite(s)
The minimum qualifications that are expected from the students who want to attend the course.(Examples: Foreign language level, attendance, known theoretical pre-qualifications, etc.)
Instructor(s)
Assoc. Prof. Nebile Korucu Gümüşoğlu
Course Assistant(s)
Schedule
Monday 13:00-14:50 / Wednesday 14:00-15:50 / By Appoint.
Office Hour(s)
Monday 11:00-12:00 / Wednesday 10:00-11:00
Teaching Methods and Techniques
-Lectures, online materials, problem sets, computer applications
Principle Sources
• Statistics for Business and Economics, 8th Edition, Paul Newbold, William L. Carlson, Betty M. Thome, Pearson.
• Statistics for Business and Economics,Anderson, Sweeney and Williams, 4th edition, Cengage Learning.
Other Sources
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Course Schedules
Week
Contents
Learning Methods
1. Week
Review of Probability and Statistics I
Lecture / Exercise
2. Week
Standard Normal Probability Distribution, Chapter 6
Lecture / Exercise
3. Week
Confidence Interval Estimation, Chapter 7&8
Lecture / Exercise
4. Week
Hypothesis Tests of a Single Population, Chapter 9
Lecture / Exercise
5. Week
Two Population Hypothesis Tests, Chapter 10
Lecture / Exercise
6. Week
Correlation Analysis
Lecture / Exercise
7. Week
Simple Regression Analysis, Chapter 11
Lecture / Exercise
8. Week
Multiple Regression Analysis, Chapter 12
Lecture / Exercise
9. Week
Regression Analysis, Applications
Lecture / Exercise
10. Week
Additional Topics in Regression Analysis, Chapter 13
Lecture / Exercise
11. Week
Dummy Variables & Its Applications
Lecture / Exercise
12. Week
Nonlinear Regression Models
Lecture / Exercise
13. Week
Analysis of Variance, Chapter 15
Lecture / Exercise
14. Week
Excel applications
Lecture / Exercise
15. Week
Excel applications
Lecture / Exercise
16. Week
Final
17. Week
Assessments
Evaluation tools
Quantity
Weight(%)
Midterm(s)
1
30
Quizzes
1
15
Attendance
1
5
Final Exam
1
50
Program Outcomes
PO-1
Comprehends both theoretical and applied subjects in international trade at the advanced level, and uses his/her knowledge when necessary.
PO-2
Analyses basic concepts and data related to International Trade and Economics by scientific methods, interprets those with analytically, and evaluates those with regard to economic issues.
PO-3
Express his/her thoughts, comments and evaluations related to International Trade discipline both in written and oral forms.
PO-4
Defines current problems, and proposes solutions which are supported by evidence and research based quantitative and qualitative data.
PO-5
Inspects how public and private sector enterprises engaged in trade activities operates in practice, and evaluates the continuities and the dynamism in these sectors.
PO-6
Defines and tracks local, regional (such as European Union or Middle East) and global issues from the point of political economics, and relates these issues to each other.
PO-7
Possesses sufficient knowledge in other disciplines related to International Trade (such as Economics, Finance, International Business and Law), and reports this information.
PO-8
Follows publications and research in International Trade, Globalisation and Financial Systems in the English language, and communicates with his/her colleagues internationally.
PO-9
Uses a second language (Russian, Chinese, etc.) at the intermediate level.
PO-10
Possesses ethical principles and scientific values in collection, interpretation and release of data.
