ÃœYS638 - ADVANCED STATISTICS
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| ADVANCED STATISTICS | ÃœYS638 | 1st Semester | 3 | 0 | 3 | 6 |
| Prequisites | ||||||
| Course language | Turkish | |||||
| Course type | Must | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Problem Solving | |||||
| Instructor (s) | Asst. Prof. Onur Koyuncu | |||||
| Course objective | The course aims to provide the students the ability to fully understand the basic facts and to be able to apply the common methods in statistics as a mathematical support tool in decision making in business administration | |||||
| Learning outcomes |
| |||||
| Course Content | Probability and probability distributions, data types, distribution parameters, correlation and regression analysis, cross table analysis, Chebyshev?s inequality, sampling and sampling distributions, central limit theorem, confidence intervals and hypothesis tests for location ? variation and proportion parameters - ANOVA, hypothesis tests for multiple samples, nonparametric tests, goodness of fit tests | |||||
| References | - Basic Business Statistics, Mark L. Berenson, David M. Levine, Timothy C. Krehbiel, ISBN-10: 0132168383, ISBN-13: 9780132168380 - Business Statistics, David F. Groebner, Patrick W. Shannon, Phillip C. Fry, Kent D. Smith, ISBN-10: 0136121012, ISBN-13: 9780136121015 - Statistics for Business and Economics, David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, ISBN-10: 0538481641, ISBN-13: 9780538481649 | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Introduction and probability |
| Week 2 | Data types, distributions and their properties |
| Week 3 | Distribution parameters and estimation |
| Week 4 | Correlation and regression analysis |
| Week 5 | Cross table analysis |
| Week 6 | Sampling distributions, Chebyshev's Inequality and Central Limit Theorem |
| Week 7 | Mid term exam |
| Week 8 | Normal distribution and its properties |
| Week 9 | Confidence intervals and hypothesis testing for means ? One sample |
| Week 10 | Confidence intervals and hypothesis testing for variances ? One sample |
| Week 11 | Confidence intervals and hypothesis testing for means ? Two samples |
| Week 12 | Confidence intervals and hypothesis testing for variances ? Two samples |
| Week 13 | Tests for multiple samples, ANOVA, Type I and Type II errors and Power of the test |
| Week 14 | Goodness of fit tests and Chisquare tests |
| Week 15 | Nonparametric tests |
| Week 16 | Final Exam |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 14 | 5 |
| Laboratory | 0 | 0 |
| Application | 0 | 0 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 5 | 10 |
| Presentation | 0 | 0 |
| Project | 1 | 10 |
| Seminar | 0 | 0 |
| Midterms | 1 | 25 |
| Final exam | 1 | 50 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 22 | 50 |
| Percentage of final exam contributing grade succes | 1 | 50 |
| Total | 100 | |
WORKLOAD AND ECTS CALCULATION
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 14 | 3 | 42 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 14 | 5 | 70 |
| Presentation / Seminar Preparation | 0 | 0 | 0 |
| Project | 1 | 20 | 20 |
| Homework assignment | 5 | 4 | 20 |
| Midterms (Study duration) | 1 | 10 | 10 |
| Final Exam (Study duration) | 1 | 20 | 20 |
| Total Workload | 36 | 62 | 182 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1. The student is able to conduct novel research on all fundamental functions of the business in accordance with scientific, institutional and social ethics and is able to report the results in a critical manner. | X | ||||
| 2. The student gains ability to solve the problems faced in business using the appropriate software and the easily adapts to the new solution methods and software. | X | ||||
| 3. The student gains the management and leadership skills to determine the problems with a critical point of view and to identify the objectives and strategic plans for the organization?s future progress. | X | ||||
| 4. The student plays an active role in national and international projects, analyses the relationship between the stakeholders of the project accurately and motivates and manages all the stakeholders through effective language skills. | X | ||||
| 5. The student gains the necessary communication skills to manage both oral and written communication of the organization with all the stakeholders. | X | ||||
| 6. The student is able to analyse and use all the contemporary and advanced knowledge gained on all areas of business in relation with the information from different areas. | X | ||||
| 7. The student progresses continuously with the consicious that learning and research is a continuous process and transfers the experience both written and oral ways. | X | ||||
| 8. Through the anticipation and strategic thinking ability, the student plays an active role in organizational decision making process. | X | ||||
| 9. The student uses all the multi-disciplinary knowledge acquired consistent with the ethical, social and international values. | X | ||||
| 10. The student gains theoric and practical expertise on the multi-disciplinary natüre of the business management. | X | ||||
| 11. The student approaches the problems face in the business with a strategic and wide perspective and sees such problems as an opportunity for continuous development. | X | ||||
| 12. The student shares the novel studies with a search for development and follows the contemporary progress in the area together with contacting the colleagues in the related areas. | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest