Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|
| STATISTICAL DATA ANALYSIS and REPORTING | BUSD1213982 | Spring Semester | 3+0 | 3 | 9 |
| Prerequisites Courses | |
| Recommended Elective Courses | |
| Language of Course | English |
| Course Level | Third Cycle (Doctorate Degree) |
| Course Type | Required |
| Course Coordinator | Assist.Prof. Yasemin KARAKOÇ |
| Name of Lecturer(s) | Lect.Dr. Omar Khalıd BHATTI |
| Assistant(s) | |
| Aim |
The aim of the statistical data analysis and reporting course is to convey basic information about the application, interpretation and reporting of statistical analyses, and the estimation of parameters based on data properties. |
| Course Content | This course contains; Basic Statistical Concepts,Data Types,Sampling Theory,
Statistical Inference,Confidence interval for population mean,SPSS applications,SPSS applications,Determination of sample size and Hypothesis tests,Chi-square test of independence,Regression analysis,Correlation analysis,Survey design and scale development,SPSS applications, overview. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| 1. Models statistical problems. | 6, 9 | A, E |
| 2. Uses statistics in interdisciplinary studies. | 6, 9 | A, E |
| 3. Organizes data sets and extract statistically significant results from them. | 6, 9 | A, E |
| 4. Uses SPSS packkage program. | 6, 9 | A, E |
| 5. Explains differences between analyses. | 6, 9 | A, E |
| 6. Understands how to perform and interpret statistical analysis. | 6, 9 | A, E |
| Teaching Methods: | 6: Experiential Learning, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, E: Homework |
Course Outline
| Order | Subjects | Preliminary Work |
|---|
| 1 | Basic Statistical Concepts | |
| 2 | Data Types | |
| 3 | Sampling Theory | |
| 4 |
Statistical Inference | |
| 5 | Confidence interval for population mean | |
| 6 | SPSS applications | |
| 7 | SPSS applications | |
| 8 | Determination of sample size and Hypothesis tests | |
| 9 | Chi-square test of independence | |
| 10 | Regression analysis | |
| 11 | Correlation analysis | |
| 12 | Survey design and scale development | |
| 13 | SPSS applications | |
| 14 | overview | |
| Resources |
| Discovering Statistics Using SPSS (3rd Edition). London: Sage Pallant, J. (2016).
SPSS Kullanma Kılavuzu: SPSS ile adım adım veri analizi (çev. Balcı & Ahi). Anı Yayıncılık |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications |
| No | Program Qualification | Contribution Level |
| 1 | 2 | 3 | 4 | 5 |
| 1 |
Defines theoretical knowledge in the field of management. | | | | X | |
| 1 |
Uses at least one computer program required in the field of management. | | | X | | |
| 1 | Adopts the principles of scientific ethics and scientific responsibility. | | | X | | |
| 1 |
Uses theoretical and practical knowledge in the field of management. | | | X | | |
| 2 | Analyzes and uses basic information and data from different disciplines (economy, finance, sociology, law, business) in order to carry out interdisciplinary studies. | | X | | | |
| 2 | Have the research skills required to conduct academic studies. | | | X | | |
| 2 | Explains the mathematical and statistical methods required in the field of management. | | X | | | |
| 3 |
Have time management skills. | X | | | | |
| 3 |
Expands the boundaries of knowledge in the field by producing or interpreting an original work by conducting at least one scientific study in the field. | | | X | | |
Assessment Methods
| Contribution Level | Absolute Evaluation |
| Rate of Midterm Exam to Success | | 50 |
| Rate of Final Exam to Success | | 50 |
| Total | | 100 |
| ECTS / Workload Table |
| Activities | Number of | Duration(Hour) | Total Workload(Hour) |
| Course Hours | 14 | 3 | 42 |
| Guided Problem Solving | 14 | 2 | 28 |
| Resolution of Homework Problems and Submission as a Report | 14 | 3 | 42 |
| Term Project | 14 | 3 | 42 |
| Presentation of Project / Seminar | 30 | 1 | 30 |
| Quiz | 0 | 0 | 0 |
| Midterm Exam | 1 | 30 | 30 |
| General Exam | 1 | 50 | 50 |
| Performance Task, Maintenance Plan | 0 | 0 | 0 |
| Total Workload(Hour) | 264 |
| Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(264/30) | 9 |
| ECTS of the course: 30 hours of work is counted as 1 ECTS credit. |
Detail Informations of the Course
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|
| STATISTICAL DATA ANALYSIS and REPORTING | BUSD1213982 | Spring Semester | 3+0 | 3 | 9 |
| Prerequisites Courses | |
| Recommended Elective Courses | |
| Language of Course | English |
| Course Level | Third Cycle (Doctorate Degree) |
| Course Type | Required |
| Course Coordinator | Assist.Prof. Yasemin KARAKOÇ |
| Name of Lecturer(s) | Lect.Dr. Omar Khalıd BHATTI |
| Assistant(s) | |
| Aim |
The aim of the statistical data analysis and reporting course is to convey basic information about the application, interpretation and reporting of statistical analyses, and the estimation of parameters based on data properties. |
| Course Content | This course contains; Basic Statistical Concepts,Data Types,Sampling Theory,
Statistical Inference,Confidence interval for population mean,SPSS applications,SPSS applications,Determination of sample size and Hypothesis tests,Chi-square test of independence,Regression analysis,Correlation analysis,Survey design and scale development,SPSS applications, overview. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| 1. Models statistical problems. | 6, 9 | A, E |
| 2. Uses statistics in interdisciplinary studies. | 6, 9 | A, E |
| 3. Organizes data sets and extract statistically significant results from them. | 6, 9 | A, E |
| 4. Uses SPSS packkage program. | 6, 9 | A, E |
| 5. Explains differences between analyses. | 6, 9 | A, E |
| 6. Understands how to perform and interpret statistical analysis. | 6, 9 | A, E |
| Teaching Methods: | 6: Experiential Learning, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, E: Homework |
Course Outline
| Order | Subjects | Preliminary Work |
|---|
| 1 | Basic Statistical Concepts | |
| 2 | Data Types | |
| 3 | Sampling Theory | |
| 4 |
Statistical Inference | |
| 5 | Confidence interval for population mean | |
| 6 | SPSS applications | |
| 7 | SPSS applications | |
| 8 | Determination of sample size and Hypothesis tests | |
| 9 | Chi-square test of independence | |
| 10 | Regression analysis | |
| 11 | Correlation analysis | |
| 12 | Survey design and scale development | |
| 13 | SPSS applications | |
| 14 | overview | |
| Resources |
| Discovering Statistics Using SPSS (3rd Edition). London: Sage Pallant, J. (2016).
SPSS Kullanma Kılavuzu: SPSS ile adım adım veri analizi (çev. Balcı & Ahi). Anı Yayıncılık |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications |
| No | Program Qualification | Contribution Level |
| 1 | 2 | 3 | 4 | 5 |
| 1 |
Defines theoretical knowledge in the field of management. | | | | X | |
| 1 |
Uses at least one computer program required in the field of management. | | | X | | |
| 1 | Adopts the principles of scientific ethics and scientific responsibility. | | | X | | |
| 1 |
Uses theoretical and practical knowledge in the field of management. | | | X | | |
| 2 | Analyzes and uses basic information and data from different disciplines (economy, finance, sociology, law, business) in order to carry out interdisciplinary studies. | | X | | | |
| 2 | Have the research skills required to conduct academic studies. | | | X | | |
| 2 | Explains the mathematical and statistical methods required in the field of management. | | X | | | |
| 3 |
Have time management skills. | X | | | | |
| 3 |
Expands the boundaries of knowledge in the field by producing or interpreting an original work by conducting at least one scientific study in the field. | | | X | | |
Assessment Methods
| Contribution Level | Absolute Evaluation |
| Rate of Midterm Exam to Success | | 50 |
| Rate of Final Exam to Success | | 50 |
| Total | | 100 |
Numerical Data
Ekleme Tarihi: 03/01/2024 - 11:28Son Güncelleme Tarihi: 03/01/2024 - 11:28
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