Measurement-statictics
METALLURGY
Vocational School of Hereke Asım Kocabıyık
Short Cycle (Associate's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Measurement-statictics | MTP114 | Compulsory | Associate degree | 1 | Spring | 4 |
Name of Lecturer(s)
Associate Prof. Dr. Aysen ŞİMŞEK KANDEMİR
Learning Outcomes of the Course Unit
1) Organize raw data into a frequency distrubition
2) Calculate the arithmetic mean, median, mode and geometric mean
3) Explain the advantages and disadvantages of each measure of central tendency
4) List the properties of the normal probability distribution
5) Calculate z values
6) Define a probability distribution
7) Make interval estimation
8) Calculate the coefficien of tmeasurement
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | ||
| Learning Outcomes | ||||||||||||||||
| 1 | Low | Low | No relation | No relation | No relation | No relation | No relation | No relation | 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 | No relation | 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 | No relation | 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 | No relation | 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 | No relation | 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 | No relation | 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 | No relation | 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 | No relation | 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
no supportive lesson
Course Contents
This course provides students with the knowledge of basic concepts, data types, graphics, drawing, means and measures of variability, basic probability distributions, sample selection techniques
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
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