| Course Type | Elective Course |
|---|
| Course Level | Bachelor's Degree |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 4 |
|---|
| Name of Lecturer(s) |
- |
| Learning Outcomes |
At the end of this course, the students;
- Analyze data sets using basic concepts and methods of descriptive statistics.
- Interpret the theoretical properties of basic statistical distributions.
- Effectively transform numerical data with tables, graphs and similar visual tools.
- Transforms data presented in different formats into appropriate formats and makes them ready for analysis
- Determines the appropriate analysis method for the research question and applies it through appropriate statistical software.
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | None |
|---|
| Course Description | Focuses on basic statistical concepts and the application of basic statistical techniques in educational research. Topics such as descriptive statistics, standard scores, normal distribution, correlation, simple linear regression, hypothesis testing, graphical data presentation are covered. Students will be able to select and apply appropriate statistical analysis techniques and interpret the results to answer research questions. |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Basic Statistical Concepts |
|
2nd Week |
Creating Data, Cleaning, Basic Statistical Analysis, Graph Drawing and Interpretation |
|
3rd Week |
Central Distribution and Measures of Dispersion |
|
4th Week |
Normal Distribution and Properties |
|
5th Week |
Central Limit Theorem and Hypothesis Testing |
|
6th Week |
Sampling and Types |
|
7th Week |
Hypothesis Testing: Single Sample Hypothesis Tests |
|
8th Week |
Midterm Exam |
|
9th Week |
Correlation |
|
10th Week |
Quantities of Test Statistics, Effect Size, Power of Test, Type I and Type II Error Control |
|
11th Week |
Hypothesis Testing: Comparison of Multiple Independent Means, One-Way Analysis of Variance |
|
12th Week |
Hypothesis Testing: Comparison of Multiple Dependent Means, Repeated Analysis of Variance |
|
13th Week |
Simple Linear Regression Analysis |
|
14th Week |
Nonparametric Methods |
|
15th Week |
General Evaluation |
|
| Recommended or Required Reading | Gelbal, S. (2025). İstatistik: Veri Analizi Yöntemleri, Pegem Akademi, Ankara.
Baykul, Y. ve Güzeller C. O. (2020). Sosyal Bilimler İçin İstatistik: Spss Uygulamalı. Ankara: Pegem Akademi Yayıncılık. (TURCADEMY)
Hinkle, D. E., Wiersma, W. and Jurs, S. G. (1988). Applied Statistics for the Behavioral Sciences. Boston: Houghton Mifflin Company. |
|---|
| Planned Learning Activities and Teaching Methods |
- Lecture
- Discussion
- Questions/Answers
- Practice
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
30 |
| Assignment |
5 |
30 |
| Total(%) |
|
60 |
| Contribution of In-term Studies to Overall Grade(%) |
|
60 |
| Contribution of Final Examination to Overall Grade(%) |
|
40 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
2 |
2 |
| Preparation for Quiz |
|
|
|
| Individual or group work |
|
|
|
| Preparation for Final exam |
1 |
20 |
20 |
| Course hours |
13 |
3 |
39 |
| Preparation for Midterm exam |
1 |
16 |
16 |
| Laboratory (including preparation) |
|
|
|
| Final exam |
1 |
2 |
2 |
| Homework |
5 |
8 |
40 |
| Total Work Load | 119 |
| Total Work Load / 30 (h) | 3.96 |
| ECTS Credit of the Course | 4 |
|
| Language of Instruction | Turkish |
|---|
| Work Placement(s) | No |
|---|
