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STATISTICS II PROGRAMME COURSE DESCRIPTION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
EKF228 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 Assist.Prof. MEHMET SAYA
Instructor(s) of the Course Unit Assist.Prof. DİDEM TETİK KÜÇÜKELÇİ
Course Prerequisite No

OBJECTIVES AND CONTENTS

Objectives of the Course Unit: The aim of this course is to enable students to understand sampling- and probability-based statistical inference approaches and to develop the ability to apply fundamental statistical methods such as parameter estimation, confidence intervals, and hypothesis testing. In addition, the course aims to examine relationships between variables through correlation and simple linear regression analysis, and to interpret data by conducting trend analysis in time series. Students are expected to accurately interpret statistical results and use them in decision-making processes.
Contents of the Course Unit: This course covers sampling methods, sampling distributions and the Central Limit Theorem, point and interval estimation (confidence intervals), hypothesis testing (z and t tests), two-sample tests, chi-square tests, one-way analysis of variance (ANOVA), correlation analysis, simple linear regression analysis, as well as an introduction to time series and trend analysis. The course is supported not only by theoretical instruction but also by sample problem solving and applied analyses.

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

Defines and explains sampling methods and sampling distributions.

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY

Week Preparatory Topics(Subjects) Method
1 Literature reading, assignment Introduction to sampling methods and sampling distributions Lecture, problem solving
2 Literature reading, assignment Central Limit Theorem and its applications Lecture, problem solving
3 Literature reading, assignment Point estimation: estimators and their properties Lecture, problem solving
4 Literature reading, assignment Interval estimation (confidence intervals): mean and proportion Lecture, problem solving
5 Literature reading, assignment Fundamentals of hypothesis testing (H0–H1, errors, p-value Lecture, problem solving
6 Literature reading, assignment One-sample hypothesis tests (Z test, t test Lecture, problem solving
7 Literature reading, assignment Two-sample hypothesis tests (independent samples t test) Lecture, problem solving
8 Literature reading, assignment Paired-samples t test and applications Lecture, problem solving
9 Literature reading, assignment Chi-square (χ²) tests: goodness-of-fit and independence tests Lecture, problem solving
10 - MID-TERM EXAM -
11 Literature reading, assignment One-way analysis of variance (ANOVA) and post-hoc tests Lecture, problem solving
12 Literature reading, assignment Correlation analysis (Pearson) and interpretation Lecture, problem solving
13 Literature reading, assignment Simple linear regression: model building and interpretation Lecture, problem solving
14 Literature reading, assignment Introduction to time series and trend analysis (moving average, linear trend) Lecture, problem solving
15 Literature reading, assignment Introduction to time series and trend analysis (moving average, linear trend) Lecture, problem solving
16 - FINAL EXAM -
17 - FINAL EXAM -

SOURCE MATERIALS & RECOMMENDED READING

olasılık ve istatistik-Fikri AKdeniz

ASSESSMENT

Assessment & Grading of In-Term Activities Number of Activities Degree of Contribution (%) Description Examination Method
Mid-Term Exam 1 50
Final Exam 1 50
TOTAL 2 100
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)
2
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)
2

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)
2
2
Analyze economic and financial reports. ((bloom 4)
2
3
Use basic mathematics, statistics and econometric methods and tools to solve economic and financial problems. (Bloom 3)
2
4
Interpret the operation of current economic, political and social events by using institutional information related with Economics and Finance.(Bloom 2)
2

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).
3

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)
3

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)
2

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)
2
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)
2
4
Evaluate the expected trends and portfolio analyzes in interest and exchange rates within the framework of the general financial system. (Bloom 4)
2

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 14 8 112
Land Surveying 0 0 0
Group Work 0 0 0
Laboratory 0 0 0
Reading 0 0 0
Assignment (Homework) 0 0 0
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 0 0 0
Mid-Term Exam 1 1 1
Preparation for the Mid-Term Exam 0 0 0
Short Exam 0 0 0
Preparation for the Short Exam 0 0 0
TOTAL 30 0 156
Total Workload of the Course Unit 156
Workload (h) / 25.5 6,1
ECTS Credits allocated for the Course Unit 6,0