- Course Code
- ECON218
- Semester
- Fourth Term (Spring)
- Theory+Practice
- 3 + 0
- ECTS
- 6
| Course Type | Compulsory Course |
|---|
| Course Level | Bachelor's Degree |
|---|
| Year of Study | 2 |
|---|
| Semester | Fourth Term (Spring) |
|---|
| ECTS | 6 |
|---|
| Name of Lecturer(s) |
|
| Learning Outcomes |
At the end of this course, the students;
- To provide the students with the knowledge and skills to collect, analyze and interpret data while solving scientific and practical problems that the students will encounter in their fields
- To gain the knowledge of which kind of research question can be answered by which statistical method.
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | None |
|---|
| Course Description | Statistics 2 course is a continuation of the Statistics 1 course opened in the previous semester. The aim of the course is to build statistical analysis methods on the basis of statistics and probability topics covered in the first semester. Unlike the last lesson, theoretical statistics and probability will be replaced mainly by applied statistics. In summary, in this course, you will learn how to use statistics for different types of research questions and patterns, and for different types of variables, based on what you learned last semester. |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Introduction to the Course ? Summary of Statistics 1 |
|
2nd Week |
Single Sample Hypothesis Tests |
|
3rd Week |
Single Sample Hypothesis Tests (continued) |
|
4th Week |
Two-Sample Hypothesis Tests: Z-test and t-test (Unequal Variances) |
|
5th Week |
Analysis of Variance and Two-Sample t-test (Equal Variances) |
|
6th Week |
Hypothesis Tests for Proportions |
|
7th Week |
Midterm Exam |
|
8th Week |
P-value and Paired Sample t-test |
|
9th Week |
One-Way Analysis of Variance |
|
10th Week |
Correlation Analysis |
|
11th Week |
Simple Regression Model |
|
12th Week |
Multiple Regression Analysis |
|
13th Week |
Chi-Square Tests |
|
14th Week |
Summary and Problem Solving |
|
| Recommended or Required Reading | Demirutku, K., Okay, N. C., Yaman, A., Kıvanç, F. E., Muratoğlu, B. ve Yeniçeri, Z. (2005). İstatistiksel formüller ve tablolar. Ankara: Başkent Üniversitesi, İİBF, ELYADAL.
https://abs.cu.edu.tr/Dokumanlar/2016/BY%20211/900118279_istatistik_ii.pdf
|
|---|
| Planned Learning Activities and Teaching Methods |
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
40 |
| Total(%) |
|
40 |
| Contribution of In-term Studies to Overall Grade(%) |
|
40 |
| Contribution of Final Examination to Overall Grade(%) |
|
60 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
1.5 |
1.5 |
| Preparation for Quiz |
|
|
|
| Individual or group work |
14 |
2 |
28 |
| Preparation for Final exam |
1 |
65 |
65 |
| Course hours |
14 |
3 |
42 |
| Preparation for Midterm exam |
1 |
45 |
45 |
| Laboratory (including preparation) |
|
|
|
| Final exam |
1 |
1.5 |
1.5 |
| Homework |
|
|
|
| Total Work Load | 183 |
| Total Work Load / 30 (h) | 6.1 |
| ECTS Credit of the Course | 6 |
|
| Language of Instruction | Turkish |
|---|
| Work Placement(s) | No |
|---|
Programme Qualifications / Learning Outcomes
|
LO1 |
LO2 |
| K1 |
X |
|
| K2 |
|
|
| K3 |
|
X |
| K4 |
X |
X |
| K5 |
|
|
| K6 |
|
|
| K7 |
X |
|
| K8 |
|
|
| K9 |
|
X |
| K10 |
|
|
| K11 |
|
|
| K12 |
|
|
| K13 |
|
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