Course Information

Course Information
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.
Weekly Topics (Content)
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
Recommended Sources
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
Relations with Education Attainment Program Course Competencies
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
*DK = Course's Contrubution.
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
ECTS credits and course workload
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