Advanced Statistics I
Mathematics
Institute of Natural and Applied Sciences
Third Cycle (Doctorate Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Advanced Statistics I | MAT611 | Elective | Doctorate degree | 1 | Fall | 8 |
Name of Lecturer(s)
Prof. Dr. Serdal PAMUK
Associate Prof. Dr. Mine Aylin BAYRAK
Assistant Prof. Dr. Metin BAYRAK
Learning Outcomes of the Course Unit
1) Define the probability space
2) Explain the probability axioms
3) Define the random variable
4) Define the distributions and distribution functions
5) Explain the definition of the expected value
6) Do the selection of the sample
7) Do the point estimate calculation
8) Define the properties of the estimators
9) Do the hypothesis tests
10) Do SPSS applications
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | ||
| Learning Outcomes | ||||||||
| 1 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 2 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 3 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 4 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 5 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 6 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 7 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 8 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 9 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 10 | 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
Probability and Statistics.
Course Contents
Candidates are provided with profound knowledge on description of statistics, applications, data collection, arrangement and presentation ,the calculation of averages the connected the all data, the calculation of averages the not connected the all data, Least Squares method, regression, correlation, the basic concepts of probability, probability calculations, probability function, discrete and continuous distributions, and statistical decision.
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Language of Instruction
Turkish
Work Placement(s)
Not Required