Advanced Statistical Modeling
zulukan@gsu.edu.tr
Content
Objective
This advanced course in inferential statistics emphasizes the practical application of statistical analysis. Instruction includes an examination of the role of statistics in research; understanding statistical terminology; use of appropriate statistical techniques; and interpretation of findings in the fields of engineering.
Course Content
Topics include graphing and tabulation of data, hypothesis testing for small and large samples, chi-squared, statistical quality control, analysis of variance (ANOVA), regression, correlation, and decision making under uncertainty.Topics combines intermediate and advanced statistical methods with practical research applications
Course Learning Outcomes
At the conclusion of this course, the student should possess the ability to perform required statistical analyses for virtually any univariate application in a business / industrial setting.
Teaching and Learning Methods
Direct
References
Understanding and Using Advanced Statistics: A Practical Guide for Students, Jeremy J Foster, Emma Barkus, Christian Yavorsky, Sage pub., 2006
Advanced Statistics, Jain, T.R. ,, Aggarval, S.C.,
Statistics: Methods and Applications : a Comprehensive Reference for Science, Industry, and Data Mining, Statsoft, 2006.
Weekly Contents
| Week | Weekly Contents |
|---|---|
| 1 | Introduction to Advanced Statistical Modeling |
| 2 | Sampling and Survey Techniques |
| 3 | Estimation and inferences |
| 4 | Hypothesis testing |
| 5 | The Design & Analysis of Factorial Experiments for 2 Factors - Model I Applications |
| 6 | The Design & Analysis of Factorial Experiments for 2 Factors - Model II Applications |
| 7 | The Design & Analysis of Factorial Experiments for 2 Factors - Model III Applications |
| 8 | Midterm |
| 9 | Linear Regression Analysis I |
| 10 | Linear Regression Analysis II |
| 11 | Linear Regression Analysis III |
| 12 | Linear Regression Analysis IV |
| 13 | Multiple Regression Analysis I |
| 14 | Multiple Regression Analysis II |
Assessment System
| Activities | Number | Contribution |
|---|---|---|
| Contribution of in-term studies to overall grade | 4 | 60 |
| Contribution of final exam to overall grade | 1 | 40 |
| Total | 5 | 100 |
| Activities | Number | Contribution |
|---|---|---|
| Assignments | 0 | 0 |
| Presentation | 0 | 0 |
| Midterm Examinations (including preparation) | 1 | 30 |
| Project | 0 | 0 |
| Laboratory | 0 | 0 |
| Other Applications | 0 | 0 |
| Quiz | 3 | 30 |
| Term Paper/ Project | 0 | 0 |
| Portfolio Study | 0 | 0 |
| Reports | 0 | 0 |
| Learning Diary | 0 | 0 |
| Thesis/ Project | 0 | 0 |
| Seminar | 0 | 0 |
| Other | 0 | 0 |
| Total | 4 | 60 |
Relation of Proficiency
| No | Program Learning Outcomes | Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | X | |||||
| 2 | X | |||||
| 3 | X | |||||
| 4 | X | |||||
| 5 | X | |||||
| 6 | X | |||||
| 7 | X | |||||
| 8 | X | |||||
| 9 | X | |||||
| 10 | X | |||||
| 11 | X | |||||
| 12 | X | |||||
ECTS
| Activities | Number | Period | Total Workload |
|---|---|---|---|
| Class Hours | 14 | 3 | 42 |
| Working Hours out of Class | 13 | 5 | 65 |
| Midterm Examinations (including preparation) | 1 | 10 | 10 |
| Final Examinations (including preparation) | 1 | 15 | 15 |
| Quiz | 3 | 14 | 42 |
| Total Workload | 174 | ||
| Total Workload / 25 | 6.96 | ||
| Credits ECTS | 7 | ||