| Course Type | Elective Course |
|---|
| Course Level | Master's Degree With Thesis |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 7 |
|---|
| Name of Lecturer(s) |
|
| Learning Outcomes |
At the end of this course, the students;
- Develops comments on the basic concepts of statistics.
- Makes inferences about the usage areas of different statistical distributions.
- Applies the hypothesis test and interprets the results.
- Creates data in SPSS environment, uses data cleaning techniques, analyzes data.
- Selects the appropriate statistical analysis for the research question.
- Comment on Type I, Type II error and effect size.
- Comment on the central limit theorem.
- Distinguish different statistical distributions.
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | No |
|---|
| Course Description | The course includes descriptive statistics, basic probability, probability distributions, sampling and estimation, testing statistical hypotheses, regression, time series forecasting and input data of research into the computer. |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Basic concepts, population, sample, variable, statistics, parameter, descriptive and inferential statistics etc. |
|
2nd Week |
Creating and cleaning data, basic statistical analysis |
|
3rd Week |
Measures of central tendency and dispersion and their use |
|
4th Week |
Normal distribution characteristics and the use of the normal distribution in the context of probability |
|
5th Week |
Correlation and regression analysis |
|
6th Week |
Central limit theorem and hypothesis testing |
|
7th Week |
Hypothesis testing Comparison of independent means (z-test) |
|
8th Week |
Hypothesis testing Comparison of independent and dependent means (t test and F test) |
|
9th Week |
Assumptions of test statistics, effect size, Type I and Type II error control |
|
10th Week |
Hypothesis testing: Comparison of multiple independent means, One-way analysis of variance |
|
11th Week |
Hypothesis testing: Comparison of multiple dependent means, Repeated analysis of variance |
|
12th Week |
Hypothesis testing: Comparison of multiple independent means, Two-way analysis of variance |
|
13th Week |
Statistical control Analysis of covariance techniques in one-way analysis of variance |
|
14th Week |
Nonparametric tests and their differences from parametric tests |
|
| Recommended or Required Reading | 1. Hinkle, D.E.,Wiersma, W., ve Jurs, S.G. (1988). Applied Statistics for the Behavioral Sciences. Houghton Mifflin Company.
2. Arıcı, H. (1984. İstatistik Yöntemler ve Uygulamalar. Meteksan Matbaacılık. |
|---|
| Planned Learning Activities and Teaching Methods |
- Lecture
- Questions/Answers
- Practice
- Problem Solving
- Discussion
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
30 |
| Assignment |
1 |
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 |
12 |
12 |
| Preparation for Quiz |
|
|
|
| Individual or group work |
14 |
4 |
56 |
| Preparation for Final exam |
1 |
24 |
24 |
| Course hours |
14 |
1 |
14 |
| Preparation for Midterm exam |
1 |
20 |
20 |
| Laboratory (including preparation) |
14 |
2 |
28 |
| Final exam |
1 |
15 |
15 |
| Homework |
5 |
4 |
20 |
| Report writing |
5 |
4 |
20 |
| Total Work Load | 209 |
| Total Work Load / 30 (h) | 6.96 |
| ECTS Credit of the Course | 7 |
|
| Language of Instruction | Turkish |
|---|
| Work Placement(s) | No |
|---|
