| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Statistics | FBO390 | Elective | Bachelor's degree | 3 | Spring | 3 |
Name of Lecturer(s)
Associate Prof. Dr. Ömer ACAR
Associate Prof. Dr. Derya KALTAKÇI GÜREL
Associate Prof. Dr. Ali Fuat YENİÇERİOĞLU
Learning Outcomes of the Course Unit
1) Calculate descriptive statistics.
2) Express descriptive statistics on scientific researchs.
3) Apply measures of central tendency.
4) Define visually explaining data from different subjects.
5) Apply measures to implement and reviews.
Program Competencies-Learning Outcomes Relation
| Program Competencies | |||||||||||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | ||
| Learning Outcomes | |||||||||||||||||||||
| 1 | High | High | Middle | High | Middle | High | High | High | High | High | Middle | High | Middle | High | Middle | High | Middle | Middle | Middle | Low | |
| 2 | High | High | Middle | High | High | Low | High | High | Middle | High | High | Middle | High | Middle | Low | High | High | Middle | Middle | Low | |
| 3 | High | Middle | High | High | Middle | High | Middle | High | High | Middle | High | Middle | High | High | Middle | High | Middle | Middle | Middle | Low | |
| 4 | High | High | Middle | High | High | Low | Middle | High | High | High | Middle | High | High | Middle | High | Middle | High | Middle | Middle | Low | |
| 5 | High | Middle | High | Middle | High | High | High | Middle | High | High | High | High | Middle | High | Middle | High | High | Middle | Middle | Low | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Basic Mathematics
Course Contents
Induction to statistic and basic concepts on statistics; descriptive statistics (measurements of central accumulation- circulation), estimation of population parameter ( Standard deviation and confidence intervals); concepts of correlation and techniques of alternative correlation; hypostesis tests, deciding; difference tests; chi-square analysis; process of scale improving; operations of standardization and adaptation; data analysis with package program and alternative programs.
Weekly Schedule
1) Definition of statistics, Statistics about the basic concepts2) data arranging
3) The data in the graph shown
4) Parametric measures of central tendency
5) Parametric measures of central tendency
6) Non-parametric measures of central tendency
7) Non-parametric measures of central tendency
8) Midterm examination/Assessment
9) Non-parametric distribution measures
10) Parametric distribution measures
11) Parametric distribution measures
12) dimensions of skew
13) dimensions of skew
14) kurtosis measures
15) applications
16) Final examination
Recommended or Required Reading
1- Lecture Note
2- Alaaddin Başar - Erhan Oktay, Uygulamalı İstatistik - I
3- Vasfi Nadir Tekin, İstatistiğe Giriş
Planned Learning Activities and Teaching Methods
1) Lecture
2) Question-Answer
3) Discussion
4) Problem Solving
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