| Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | | OT100ZY | Computer Applied Basic Statistics | Elective | 1 | 2 | 6 |
|
| Level of Course Unit |
| Second Cycle |
| Objectives of the Course |
| Basic concepts of statistics, descriptive statistics and parameters, introduction to sampling theory and basic sampling methods, statistical interpretation will be done. |
| Name of Lecturer(s) |
| Doç. Dr. Bora GÖKTAŞ |
| Learning Outcomes |
| 1 | Students will be able to apply statistical knowledge and skills effectively in their own research by examining hypothesis tests and data analysis in social research. | | 2 | To be able to comprehend basic statistical methods and to choose the appropriate statistical analysis method when encountering a real problem and to give the ability to interpret the results by making these analyzes in computer environment (via SPSS program). |
|
| Mode of Delivery |
| Normal Education |
| Prerequisites and co-requisities |
| - |
| Recommended Optional Programme Components |
| - |
| Course Contents |
| Statistical analysis, parametric and nonparametric tests |
| Weekly Detailed Course Contents |
|
| 1 | Introduction to Computer Applied Basic Statistics and explanation of basic concepts | | | | 2 | Data collection and frequency tables | | | | 3 |
Measures of central tendency (arithmetic mean, mode, median, harmonic mean, geometric mean ..) | | | | 4 |
Variability and asymmetry dimensions change interval, standard deviation, variance, coefficient of variation, mean absolute deviation | | | | 5 |
Sampling distributions and estimation | | | | 6 |
Hypothesis testing and confidence limits of a mean (Z distribution) | | | | 7 | Characteristics of sample mean and variance, point estimation, confidence intervals | | | | 8 | Midterm Exam | | | | 9 | Basic concepts of quantitative decision methods, classification of statistical methods and selection of appropriate methods | | | | 10 | Parametric tests: independent sample t test, conjugate sample t test, single sample t test | | | | 11 | Nonparametric tests: Mann-Whitney U test, Kruskal Wallis test, Chi-square homogeneity test, Chi-square independence test, Chi-square compliance test, Wilcoxon test | | | | 12 | Correlation test, Partial correlation test, One-way ANOVA, Two-Way ANOVA | | | | 13 | One Way MANOVA, Two Way MANOVA | | | | 14 | Nonparametric tests and regresion | | | | 15 | Practics | | |
|
| Recommended or Required Reading |
| SPSS Uygulamalı Çok Değişkenli İstatistik Teknikleri, Şeref Kalaycı, Asil Yayınevi. |
| Planned Learning Activities and Teaching Methods |
|
| Assessment Methods and Criteria | |
| Midterm Examination | 1 | 100 | | SUM | 100 | |
| Final Examination | 1 | 100 | | SUM | 100 | | Term (or Year) Learning Activities | 30 | | End Of Term (or Year) Learning Activities | 70 | | SUM | 100 |
| | Language of Instruction | | Turkish | | Work Placement(s) | | - |
|
| Workload Calculation |
|
| Midterm Examination | 1 | 5 | 5 |
| Final Examination | 1 | 7 | 7 |
| Attending Lectures | 14 | 3 | 42 |
| Practice | 14 | 3 | 42 |
| Self Study | 14 | 3 | 42 |
| Individual Study for Homework Problems | 14 | 3 | 42 |
|
| Contribution of Learning Outcomes to Programme Outcomes |
| LO1 | 5 | | | | | | | 3 | | | | 4 | | | | 5 | | | 5 | | | 4 | | | | LO2 | 4 | | | | | | | 5 | | | | 5 | | | | 4 | | | 4 | | | 5 | | |
|
| * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
 |
| |