Course Title | Code | Semester | L+U Hour | Credits | ECTS |
---|---|---|---|---|---|
. | PEM030 | 1. Semester | 2 + 0 | 2.0 | 3.0 |
Prerequisites | None |
Language of Instruction | Turkish |
Course Level | Undergraduate |
Course Type | |
Mode of delivery | Elective |
Course Coordinator |
Lect. Canberk BATU |
Instructor(s) |
Canberk BATU |
Assistants | |
Goals | To introduce the basic concepts and basic statistical test methods of statistics and to provide basic training in critical thinking through statistical concepts. It is the explanation of how to analyze the data obtained from the researches and how the analysis results will be interpreted. |
Course Content | The basic concepts of statistics, classification of data, the central tendency and dispersion, methods of statistical estimation, hypothesis testing, analysis of variance, correlation and regression. |
Learning Outcomes |
- Reasoning, knowledge: To learn basic terms and concepts related to statistics. To be able to collect, classify and present data. - Sensation, attitude(affective): To be able to determine and apply the most appropriate statistical technique / techniques. Statistical estimation and interpretation. - Perform, skill (psychomotor): To be able to analyze the problems that can be encountered in working life To be able to understand the role of statistical data analysis in managerial decision making. |
Week | Topics | Learning Methods |
---|---|---|
1. Week | General Description, History and General Concepts of Statistics. | Verbal Expression Visual Presentation Practice |
2. Week | Arrangement and Classification of Statistical Data. | Verbal Expression Visual Presentation Practice |
3. Week | Representation of Statistical Data with Graphics. | Practice Visual Presentation Verbal Expression |
4. Week | Central Tendency Measures. | Visual Presentation Practice Verbal Expression |
5. Week | Central Distribution Measures. | Verbal Expression Visual Presentation Practice |
6. Week | Probability Theory, Conditional Probability, Probability Distribution. | Verbal Expression Visual Presentation Practice |
7. Week | Theoretical Distributions. | Verbal Expression Visual Presentation Practice |
8. Week | Midterm | |
9. Week | Sampling Technique. | Visual Presentation Verbal Expression Practice |
10. Week | Sampling Distributions. | Verbal Expression Visual Presentation Practice |
11. Week | Confidence Interval. | Verbal Expression Visual Presentation Practice |
12. Week | Hypothesis Tests. | Practice Verbal Expression Visual Presentation |
13. Week | Chi-Square Test. | Verbal Expression Visual Presentation Practice |
14. Week | Simple Linear Regression and Correlation Analysis. | Visual Presentation Practice Verbal Expression |
Esin, A., Ekni, M., Gamgam. H., 2006, Statistics, Gazi Kitabevi. |
Statistics, Open Education Faculty Textbooks |
Ercan, M., Statistics in Scientific Research, Forestry Bank, Poplar and Speed. Gel. Species Orm. Tree. Araş. Ens. Md., Publication No: 211, ISSN 1300-3933, İzmit 1997. |
www.tuik.gov.tr |
Program Requirements | Contribution Level | DK1 | DK2 | DK3 | Measurement Method |
---|---|---|---|---|---|
PY1 | 3 | 0 | 0 | 0 | 40,60 |
PY2 | 2 | 0 | 0 | 0 | 40,60 |
PY3 | 2 | 0 | 0 | 0 | 40,60 |
PY4 | 4 | 0 | 0 | 0 | 40,60 |
PY5 | 3 | 0 | 0 | 0 | 40,60 |
PY6 | 2 | 0 | 0 | 0 | 40,60 |
PY7 | 3 | 0 | 0 | 0 | 40,60 |
PY8 | 2 | 0 | 0 | 0 | 40,60 |
PY9 | 3 | 0 | 0 | 0 | 40,60 |
PY10 | 1 | 0 | 0 | 0 | 40,60 |
PY11 | 3 | 0 | 0 | 0 | 40,60 |
PY12 | 2 | 0 | 0 | 0 | 40,60 |
PY13 | 3 | 0 | 0 | 0 | 40,60 |
0 | 1 | 2 | 3 | 4 | 5 | |
---|---|---|---|---|---|---|
Course's Level of contribution | None | Very Low | Low | Fair | High | Very High |
Method of assessment/evaluation | Written exam | Oral Exams | Assignment/Project | Laboratory work | Presentation/Seminar |
Event | Quantity | Duration (Hour) | Total Workload (Hour) |
---|---|---|---|
Course Hours | 14 | 1 | 14 |
Preparation, After Class Study | 14 | 2 | 28 |
Research | 14 | 1 | 14 |
Practice | 9 | 1.5 | 13.5 |
Midterm 1 | 1 | 1 | 1 |
Final | 1 | 1 | 1 |
Classroom Activities | 5 | 1 | 5 |
Total Workload | 76.5 | ||
ECTS Credit of the Course | 3.0 |