Insurance and Social Security
Course Details

KTO KARATAY UNIVERSITY
İktisadi, İdari ve Sosyal Bilimler Fakültesi
Programme of Insurance and Social Security
Course Details
İktisadi, İdari ve Sosyal Bilimler Fakültesi
Programme of Insurance and Social Security
Course Details

| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 99700015 | Statistics II | 2 | Spring | 4 | 3+0+0 | 4 | 4 |
| Course Type | Compulsory |
| Course Cycle | Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6) |
| Course Language | Turkish |
| Methods and Techniques | - |
| Mode of Delivery | Face to Face |
| Prerequisites | - |
| Coordinator | - |
| Instructor(s) | Lect. Özlem AKARÇAY PERVİN |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Lect. Özlem AKARÇAY PERVİN | T-209 | [email protected] | 7707 |
Course Content
Basic statistical concepts, Variables, Frequency distribution, measures of central tendency, measures of change.
Objectives of the Course
Evaluation of statistical analysis and use in statistical research together with basic statistical method.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| Specialization / Field Courses | X |
| Support Courses | |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses |
Relationships between Course Learning Outcomes and Program Outcomes
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Program Learning Outcomes | Level |
|---|---|---|
| P1 | To master the main theories and terminology of Insurance and Social Security, and to learn the legal and legislative aspects of the field at a level to apply them, | 1 |
| P2 | Ability to identify, define and solve problems that may arise in the fields of Insurance and Social Security; use, evaluate and apply appropriate qualitative and quantitative techniques for solution-oriented decisions, | 3 |
| P3 | Learning and understanding the basic concepts of business administration; mastering the theoretical and practical developments related to the disciplines of management, marketing, production, accounting, finance, etc., which are the basic functions of the business, and using the acquired knowledge in a professional context. | 5 |
| P4 | To be able to analyze the strategic, tactical and operational processes of institutions and businesses in the field of Insurance and Social Security; to have the knowledge and skills to interpret and report sector data at national and international level and to assume managerial responsibility in this field, | 3 |
| P5 | To be able to combine different disciplines and field knowledge and to be able to conduct professional, social and scientific researches and to be able to transfer the findings in written and oral form, | 1 |
| P6 | Communicating effectively in professional and social environments; using oral and written expression skills appropriately and accurately, | 1 |
| P7 | To be able to plan and manage individual studies and take responsibility in group studies by acting with commitment to professional and ethical principles. | 1 |
| P8 | To have knowledge about management information systems and informatics applications used in various fields of business and to have the ability to use software and technologies used in the field effectively | 1 |
| P9 | To comprehend the theoretical and practical knowledge of basic processes in the fields of insurance and private pension; to have professional skills and competencies in areas such as management of social insurance funds, technical operations specific to insurance branches and marketing of services | 1 |
| P10 | To have the ability to design innovative solutions and applications by establishing relationships between different disciplines, developing lifelong learning awareness and interpreting current approaches | 5 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | P.3.1 | 1 | |
| O2 | P.3.9 | 1 | |
| ** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7 | |||
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | Nokta tahminleyiciler ve özellikleri, güven düzeyi ve aralığı kavramları |
| 2 | Ana kütle varyasının bilindiği ve bilinmediği durumlar için normal dağılım ortalamasının güven aralığı tahmini |
| 3 | Örneklemlerin bağımlı olduğu iki ana kütle ortalama farkının güven aralığı tahmini |
| 4 | Ana kütle varyasının bilindiği ve bilinmediği durumlar için örneklemlerin bağımsız olduğu iki ana kütle ortalama farkının güven aralığı tahmini |
| 5 | Hipotez test kavramları, Ana kütle varyasının bilindiği durum için normal dağılım ortalamasının hipotez testi, P değer kavramı |
| 6 | Ana kütle varyansının bilinmediği durumlar için normal dağılım ortalamasının hipotez testi |
| 7 | Örneklemlerin bağımlı olduğu iki ana kütle ortalama farkının hipotez testi |
| 8 | Ana kütle varyansının bilindiği ve bilinmediği durumlar için örneklemlerin bağımsız olduğu iki ana kütle ortalama farkının hipotez testi.İki normal dağılımlı ana kütle için varyans eşitliği testi |
| 9 | Doğrusal modeller, En küçük kareler yöntemi, Doğrusal regresyon modeli, En küçük kareler katsayı tahminleyicileri |
| 10 | Doğrusal regresyon denkleminin açıklayıcı kuvvetleri, Varyans analizi, Kararlılık katsayısı |
| 11 | Ana kütle regresyon eğimi için hipotez testi ve güven aralığı, Ana kütle eğimi için F dağılımı yardımıyla hipotez testi, Tahmin ve güven aralıkları, Korelasyon analizi ve korelasyon hipotez testi |
| 12 | Çoklu regresyon modeli, en küçük kareler Yöntemi ve örneklemin çoklu regresyon modeli. Çoklu regresyon denkleminin açıklayıcı kuvvetleri, Kararlılık katsayısı ve çoklu korelasyon katsayısı |
| 13 | Regresyon katsayıları için güven aralıkları ve hipotez testleri. Çoklu regresyon denkleminin tüm katsayıları için F dağılımı vasıtasıyla hipotez testi |
| 14 | Eşleştirilmiş ikililer için parametrik olmayan testler: İşaret testi, işaret testi için normal dağılım, Wilcoxon işaret kademe testi ve Wilcoxon işaret kademe testi için normal dağılım |
Textbook or Material
| Resources | Statistics and Business Economics by P. Newbold W. L. Carlson, B. Thorne |
| Statistics and Business Economics by P. Newbold W. L. Carlson, B. Thorne |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Practice | - | - |
| Field Study | - | - |
| Course Specific Internship (If Any) | - | - |
| Homework | - | - |
| Presentation | - | - |
| Projects | - | - |
| Seminar | - | - |
| Quiz | - | - |
| Listening | - | - |
| Midterms | 1 | 40 (%) |
| Final Exam | 1 | 60 (%) |
| Total | 100 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 0 | 0 | 0 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 0 | 0 | 0 |
| Midterms | 0 | 0 | 0 |
| Quiz | 0 | 0 | 0 |
| Homework | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 0 | 0 | 0 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 0 | 0 | 0 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 0 | ||
| Total Work Load / 30 | 0 | ||
| Course ECTS Credits: | 0 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P3 |
|---|---|---|
| O1 | İşletme alanına ilişkin temel kavramları öğrenir, kavrar, uygular ve analiz eder | 4 |
| O2 | Sigortacılık sektöründe faaliyet gösteren işletmelerin finansal tablolarını yorumlayabilir. | 3 |
