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STATISTICS II PROGRAMME COURSE DESCRIPTION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
EKF222 STATISTICS II 4 3 3 6

GENERAL INFORMATION

Language of Instruction : Turkish
Level of the Course Unit : BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle
Type of the Course : Compulsory
Mode of Delivery of the Course Unit -
Coordinator of the Course Unit Assoc.Prof. BÜLENT İLHAN
Instructor(s) of the Course Unit Assist.Prof. DİDEM TETİK KÜÇÜKELÇİ
Course Prerequisite No

OBJECTIVES AND CONTENTS

Objectives of the Course Unit: This course aims to provide students with the ability to make scientific decision making according to statistical analysis techniques and analysis results.
Contents of the Course Unit: Contents of the course include the subjects such as confidence interval estimates for single and two universe, Hypothesis testing for single and two universe, Simple and multiple regression analysis, Nonparametric statistics, Chi-square distribution.

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)

Interpret on parameter by using the statistics. (4)
Compare the relationship between two variables. (4)
Interpret the index types and calculations. (4)
Classify cross tables. (4)
Interpret the distributions statistically. (4)
Solve the problems related to Hypothesis testing and chi-square distributions. (3)
Analyze distributions. (4)
Analyze hypotheses using statistical methods. (4)

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY

Week Preparatory Topics(Subjects) Method
1 Reading Concept and Types Lecture & Question Answer & Problem-Solving Method
2 Reading Hypothesis Testing Concept Lecture & Question Answer & Problem-Solving Method
3 Reading Central Limit Theorem Lecture & Question Answer & Problem-Solving Method
4 Reading Hypothesis Testing of Single Value and Mean Lecture & Question Answer & Problem-Solving Method
5 Reading Hypothesis Testing of Single Value and Mean Lecture & Question Answer & Problem-Solving Method
6 Reading Hypothesis Testing of Single Value and Mean Lecture & Question Answer & Problem-Solving Method
7 Reading Linear Trend Lecture & Question Answer & Problem-Solving Method
8 - MID-TERM EXAM -
9 Reading Regression Analysis Lecture & Question Answer & Problem-Solving Method
10 Reading Curvilinear Trend Lecture & Question Answer & Analysis
11 Reading Indexes and Time Zaman Indexes Lecture & Question Answer & Analysis
12 Reading Simple and Compound Indexes Lecture & Question Answer & Analysis
13 Reading Chi Squared Distribution Lecture & Question Answer & Problem-Solving Method
14 Reading Chi Square Test Lecture & Question Answer & Problem-Solving Method
15 Reading General Revision and Evaluation Lecture & Question Answer & Problem-Solving Method
16 - FINAL EXAM -
17 - FINAL EXAM -

SOURCE MATERIALS & RECOMMENDED READING

Murray R. Spiegel, Larry J. Stephens (2013). Statistic. Nobel Academic Publications
Cil, B.(2008).Istatistik.8th Edition. Detay Publications

ASSESSMENT

Assessment & Grading of In-Term Activities Number of Activities Degree of Contribution (%) Description
Level of Contribution
0 1 2 3 4 5

CONTRIBUTION OF THE COURSE UNIT TO THE PROGRAMME LEARNING OUTCOMES

KNOWLEDGE

Theoretical

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Define the basic concepts of economics, administrative and human sciences. (Bloom 1)
2
2
Evaluate the economic environment and overall sustainability of firms. (Bloom 4)
2

KNOWLEDGE

Factual

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Relate principles and concepts of economics and finance with other disciplines. (Bloom 4)
1
2
Define principles, concepts, methods and theories related with economics and finance. (Bloom 1)
2

SKILLS

Cognitive

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Interpret the charts and tables related to the field. (Bloom 2)
4

SKILLS

Practical

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Evaluate the theoretical models of economic policies which have direct or indirect effects by using the facts and dynamics of the economic system.(Bloom 4)
3
2
Analyze economic and financial reports. ((bloom 4)
3
3
Use basic mathematics, statistics and econometric methods and tools to solve economic and financial problems. (Bloom 3)
5
4
Interpret the operation of current economic, political and social events by using institutional information related with Economics and Finance.(Bloom 2)
3

OCCUPATIONAL

Autonomy & Responsibility

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Organize economic and financial activities in humanitarian and social terms with adherence to ethics. (Bloom 4).
1

OCCUPATIONAL

Learning to Learn

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Develop a critical perspective on national and international economic, political, social, financial and development problems. (bloom 6)
1

OCCUPATIONAL

Communication & Social

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Follow the agenda on economics, politics and social issues and improve himself/ herself. (bloom 6)
1

OCCUPATIONAL

Occupational and/or Vocational

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Analyze current issues and problems by using the structure and properties of Macro and Microeconomics and variables. (Bloom 4)
3
2
Evaluate the effectiveness of the general economic system and public policies and their effects on markets and basic economic variables.(Bloom 4)
2
3
Analyze the cause and effect relationships between the relevant economic variables. (Bloom 4)
4
4
Evaluate the expected trends and portfolio analyzes in interest and exchange rates within the framework of the general financial system. (Bloom 4)
1

WORKLOAD & ECTS CREDITS OF THE COURSE UNIT

Workload for Learning & Teaching Activities

Type of the Learning Activites Learning Activities (# of week) Duration (hours, h) Workload (h)
Lecture & In-Class Activities 14 3 42
Preliminary & Further Study 13 2 26
Land Surveying 0 0 0
Group Work 0 0 0
Laboratory 0 0 0
Reading 10 2 20
Assignment (Homework) 7 2 14
Project Work 0 0 0
Seminar 0 0 0
Internship 0 0 0
Technical Visit 0 0 0
Web Based Learning 0 0 0
Implementation/Application/Practice 0 0 0
Practice at a workplace 0 0 0
Occupational Activity 0 0 0
Social Activity 0 0 0
Thesis Work 0 0 0
Field Study 0 0 0
Report Writing 0 0 0
Final Exam 1 1 1
Preparation for the Final Exam 4 8 32
Mid-Term Exam 1 1 1
Preparation for the Mid-Term Exam 2 8 16
Short Exam 0 0 0
Preparation for the Short Exam 0 0 0
TOTAL 52 0 152
Total Workload of the Course Unit 152
Workload (h) / 25.5 6
ECTS Credits allocated for the Course Unit 6,0