GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
INTRODUCTION TO STATISTICS AND PROBABILITY II/EKON102
Course Title: INTRODUCTION TO STATISTICS AND PROBABILITY II
Credits 3 ECTS 5
Semester 2 Compulsory/Elective Compulsory
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Prof. Aydin UNSAL
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/aunsal
 -- EMAIL(S) OF LECTURER(S)
  aunsal@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Learns The estimation methods
calculates the confidence intervals
gains the ability to decide with hypothesis testing
analyzes the causal relationship
does statistical inference
 -- MODE OF DELIVERY
   The mode of delivery of this course is Face to face
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  Mathematics, and Introduction to Statistics and Probability
 --COURSE CONTENT
1. Week  Sampling Distribution and Central Limit Theorem
2. Week  Point Estimation and Properties of the best Estimator
3. Week   Chi-square, t, F and Exponential Distributions
4. Week   Confidence Interval for one Population parameter
5. Week  Hypothesis Testing for one Population parameter
6. Week   Hypothesis Testing for one Population parameter
7. Week  Problem Hour
8. Week   Midterm
9. Week   Confidence Interval for two Population parameters
10. Week   Confidence Interval for two Population parameters
11. Week   Hypothesis Testing for two Population parameters
12. Week   Hypothesis Testing for two Population parameters
13. Week   Chi-Square Test of Independence
14. Week  Statistical Correlation Coefficients
15. Week   Problem Hour
16. Week   Final Exam
 -- RECOMMENDED OR REQUIRED READING
   • Paul Newbold, İşletme ve İktisat İçin İstatistik, Literatür Yayıncılık, 2000. • İstatistik: Temel Kavramlar, Verilerin kullanıma sunulması, Alptekin Esin, Müslim Ekni, Hamza Gamgam, Gazi Kitabevi, 2006. • Matematiksel İstatistik, Prof. Dr. Yılmaz Akdi, 2010
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture
 -- WORK PLACEMENT(S)
  Not Applicable
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
40
 Assignment
0
0
 Exercises
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
40
 Contribution of Final Examination to Overall Grade  
60
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
12
3
36
 Practising Hours of Course Per Week
2
3
6
 Reading
14
2
28
 Searching in Internet and Library
14
2
28
 Designing and Applying Materials
0
0
0
 Preparing Reports
0
0
0
 Preparing Presentation
0
0
0
 Presentation
0
0
0
 Mid-Term and Studying for Mid-Term
7
2
14
 Final and Studying for Final
7
2
14
 Other
0
 TOTAL WORKLOAD: 
126
 TOTAL WORKLOAD / 25: 
5.04
 ECTS: 
5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Having the professional expertise and skills on theoretical and practical aspects of econometrics, statistics and operational research.X
2Having qualities for professional competence in order to work in career fields such as inspector or assistant specialist or working department of research-development in public institutions and organizations, the private sector and civil society organizations.X
3Having knowledge about other disciplines such as economics, managements, public finance and law related to econometrics.
4Having appropriate behavior of econometrics in the field of social, scientific, cultural and ethical values, applicability of gained knowledge and skills in accordance with the principle of responsibility to social and working life.X
5Having skills about foreign language and information system related to the fields in academic and working life.
6Having skills about selecting, using and evaluating of appropriate statistical, econometric and mathematical programming methods, based on theoretical and practical knowledge acquired in the field related to the current problems faced by.
7Having skills to work with the team for reach fruitful results in interdisciplinary and interdisciplinary studies.X
8Having knowledge of research methods in the field of institutions and organizations planning projects, managing, and to conduct independent researches.X
9Having qualities for analytical thinking, prospecting and bring scientific solutions to problems as a researcher.X
10Having skills to comprehension, application and evaluation about terms and basic theory of econometrics.X
11Having skills to comprehension, application and evaluation about terms and basic theory of statistics.X
12Having skills to comprehension, application and evaluation about terms and basic theory of statistics.X
13Using some of the basic econometric and statistical software programs.