Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | OT100Z | Computer Applied Basic Statistics | Compulsory | 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). | 3 | It is to show what analyzes the student should do on a data set. |
|
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 | 4 | 4 | 5 | 3 | 4 | 5 | 3 | 4 | 5 | 4 | 4 | 4 | 5 | 2 | 5 | 4 | 4 | 5 | | | 4 | 4 | | LO2 | 4 | 5 | 4 | 3 | 2 | 5 | 3 | 5 | 3 | 4 | 1 | 5 | 3 | 4 | 4 | 4 | 4 | 2 | 4 | | | 5 | 5 | | LO3 | 1 | 4 | 5 | 4 | 3 | 5 | 5 | 5 | 2 | 4 | 4 | 5 | 4 | 4 | 5 | 2 | 4 | 5 | 5 | | | 4 | 1 | |
|
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
|
|