| 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 |
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|---|---|---|---|
| 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 |
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|---|---|---|---|---|
| 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 |
KNOWLEDGE |
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|---|---|---|---|---|---|---|---|
Theoretical |
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| 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 |
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|---|---|---|---|---|---|---|---|
Factual |
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| 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 |
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|---|---|---|---|---|---|---|---|
Cognitive |
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| 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 |
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|---|---|---|---|---|---|---|---|
Practical |
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| 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 |
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|---|---|---|---|---|---|---|---|
Autonomy & Responsibility |
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| 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 |
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|---|---|---|---|---|---|---|---|
Learning to Learn |
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| 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 |
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| 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 |
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|---|---|---|---|
Workload for Learning & Teaching Activities |
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| 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 |