| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Statistics I | EKO213 | Compulsory | Bachelor's degree | 2 | Fall | 4 |
Name of Lecturer(s)
Prof. Dr. İlyas AKHİSAR
Prof. Dr. Muhsin HALİS
Prof. Dr. Selçuk KOÇ
Associate Prof. Dr. Nihat Hakan AKYOL
Associate Prof. Dr. Feyyaz Cengiz DİKMEN
Associate Prof. Dr. Hılal YILDIZ
Assistant Prof. Dr. Barış AKSU
Lecturer Tibet AKYÜREK
Learning Outcomes of the Course Unit
1) Organize , draw graphical presentation and compute the necessary sample statistics from the data collected for the statistical study.
2) Apply statistical software.
3) Interpret the statistical summary data.
4) Comment on sample statistics.
5) List probabilities for discrete and continuous variables.
Program Competencies-Learning Outcomes Relation
| Program Competencies | |||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | ||
| Learning Outcomes | |||||||||||
| 1 | High | High | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 2 | High | High | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 3 | High | High | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 4 | High | High | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 5 | High | High | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Mathematics for Economists I, Mathematics for Economists II
Course Contents
Organization, presentation, summarization and interpretation of the data ; basic properties and theories of probability ; discrete and continuous probability distributions.
Weekly Schedule
1) Satistics and Data2) Descriptive Statistics : Tabular and Graphical Methods
3) Descriptive Statistics : Summarizing Quantitative Data, Crosstabulations and Scatter Diagrams
4) Descriptive Statistics : Measures of location (Mean, trimmed mean, median, mode, percentiles, quartiles)
5) Descriptive Statistics : Measures of location (Mean, trimmed mean, median, mode, percentiles, quartiles) - Continued.
6) Descriptive Statistics : Range, Interquartile Range, Variance, Standard deviation, coefficient of variation.
7) Descriptive Statistics : Some uses of standard deviation and Mean (z-scores and Chebyshev's Theorem)
8) Midterm Exam
9) Introduction to Probability.
10) Introduction to Probability- Continued
11) Discrete Probality Distributions - Random variables, expected value and variance, Binom and Poisson Probability distribution
12) Discrete Probality Distributions - Random variables, expected value and variance, Binom and Poisson Probability distribution - Continued
13) Continuous Probability Distributions - Normal and Exponential Probability Distribution
14) Continuous Probability Distributions - Normal and Exponential Probability Distribution- Continued
15) Continuous Probability Distributions - Normal and Exponential Probability Distribution- Contiuned
16) Final Exam
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
1) Lecture
2) Question-Answer
3) Discussion
Assessment Methods and Criteria
Contribution of Midterm Examination to Course Grade |
40% |
|---|---|
Contribution of Final Examination to Course Grade |
60% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required