It is aimed that the students taking the course have knowledge about statistical analysis and interpretation of results.
Prerequisite(s)
Course Code Course Name…
Corequisite(s)
Course Code Course Name…
Special Requisite(s)
The minimum qualifications expected from the student in order to take the course. (Examples: Foreign language level, attendance, previously acquired institutional competencies, etc.)
Instructor(s)
Professor Burak Güriş
Course Assistant(s)
Schedule
Thursday, 6.00pm-9:00 pm, Ataköy
Office Hour(s)
Thursday
Teaching Methods and Techniques
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Principle Sources
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-Bilimsel Araştırmalarda SPSS ile İstatistik, Selahattin Güriş, Melek Astar, DER Yayınları 2019
-R ile Temel Ekonometri, Selahattin Güriş, Ebru Çağlayan Akay, Burak Güriş, DER Yayınları 2020
Other Sources
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Course Schedules
Week
Contents
Learning Methods
1. Week
Basic Concepts of Statistics and R Program Introduction
2. Week
Basic Concepts of Statistics and R Program Applications
3. Week
Hypothesis Tests
4. Week
Hypothesis Testing and R applications
5. Week
Hypothesis Testing and R applications
6. Week
Correlation and Simple Linear Regression Model
7. Week
Multiple Linear Regression Model
8. Week
Testing Deviations from Assumptions: Autocorrelation
9. Week
Testing Deviations from Assumptions: Varying Variance
10. Week
Testing Deviations from Assumptions: Multiple Linear Dependence and Normality
11. Week
Dummy variables and structural change
12. Week
Models with Qualitative Dependent Variables
13. Week
14. Week
15. Week
16. Week
17. Week
Assessments
Evaluation tools
Quantity
Weight(%)
Program Outcomes
PO-1
A student who successfully completes the program will be able
To develop a critical perspective by defining economic theories, comparing theory applications, and economic systems.
PO-2
To identify economic agents (such as government, firms, households, etc.), to understand their roles within the economy, to evaluate and analyze them.
PO-3
To define policies for solving economic problems, to evaluate solution proposals, and to develop policies.
PO-4
To make predictions regarding the resolution of economic problems using numerical methods and econometric analysis techniques.
PO-5
To make future predictions by evaluating national and international economic and financial data.
PO-6
To relate economic growth and development to social events historically.
PO-7
To utilize skills such as independent work, taking responsibility, and creativity.
PO-8
To develop skills in teamwork through verbal and written communication, problem-solving, and to utilize information technologies.
PO-9
To adapt the theoretical knowledge acquired to business life.
PO-10
To evaluate skills that will be useful for future careers.
PO-11
To act in accordance with social, rational, scientific and ethical values during the collection, interpretation and announcement of data related to the field of Managerial Economics and to carry out the thesis within the framework of these principles.
Learning Outcomes
LO-1
Mastering the basics of statistics
LO-2
Hypothesis generation
LO-3
Ability to test hypotheses
LO-4
Ability to perform statistical analysis
LO-5
Performing statistical method applications in R program