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Information
| Unit | CEYHAN VOCATIONAL SCHOOL |
| Code | MUV170 |
| Name | Statistics |
| Term | 2019-2020 Academic Year |
| Semester | 2. Semester |
| Duration (T+A) | 2-0 (T-A) (17 Week) |
| ECTS | 4 ECTS |
| National Credit | 2 National Credit |
| Teaching Language | Türkçe |
| Level | Ön Lisans Dersi |
| Type | Normal |
| Label | C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Öğr. Gör. DİLEK NESRİN KONAKLI |
| Course Instructor |
Öğr. Gör. DİLEK NESRİN KONAKLI
(Bahar)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
The aim of this course is to teach students data collection, data conversion, and the series of variability measures of series of calculations, calculation of probabilities, random variables, making analysis, making the sampling, testing, and application types, to analyze the relationship between variables and to train on the index calculations.
Course Content
Collecting data, converting it into series and calculating its variability amounts, calculating probability, analyzing with random variables, exemplification, applying test types, analyzing the relationship between variables, and calculating indexes.
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | It explains the aims of statistics and basic concepts about statistics. |
| LO02 | Describes and applies techniques for the collection |
| LO03 | Explain central tendency and apply them |
| LO04 | Describe the distribution measures and apply them |
| LO05 | Explain and apply basic rules about probability. |
| LO06 | It explains how mathematical modeling of relations between variables |
| LO07 | Explain and apply basic rules about probability |
| LO08 | Describe the distribution measures and apply them |
| LO11 | . |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Collecting data | lecture notes | |
| 2 | Converting data into series | lecture notes | |
| 3 | Converting data into series , | lecture notes | |
| 4 | graphics | lecture notes | |
| 5 | Calculating data variability amounts | lecture notes | |
| 6 | Mode, Median, relations between averages | lecture notes | |
| 7 | Dispersion Measurements | lecture notes | |
| 8 | Mid-Term Exam | ||
| 9 | Tilt measurements | lecture notes | |
| 10 | Possibility | lecture notes | |
| 11 | Possibility | lecture notes | |
| 12 | Correlation analysis | lecture notes | |
| 13 | Regression analysis | lecture notes | |
| 14 | indexes | lecture notes | |
| 15 | samples applications studies | lecture notes | |
| 16 | Term Exams | ||
| 17 | Term Exams |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 20 |
| General Assessment | ||
| Midterm / Year Total | 100 | 20 |
| 1. Final Exam | - | 80 |
| Grand Total | - | 100 |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 2 | 28 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 2 | 28 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 8 | 8 |
| Final Exam | 1 | 24 | 24 |
| Total Workload (Hour) | 88 | ||
| Total Workload / 25 (h) | 3,52 | ||
| ECTS | 4 ECTS | ||