STATISTIC
- Course
- STAT502 - STATISTIC
- Department
- Basic Sciences and Humanities
- Course Type
- Course
- Status
- Required
- Language
- English
- Credit
- 3
- ECTS
- 0
- T+P+L
- 3 + 0 + 0
- Course Coordinator(s)
- -
- Prerequisite
- -
- Keywords
- -
Course Description
-
STATISTIC
Evaluation Tools (Active Term)
No evaluation items have been defined.
Course outcomes
- 01 They analyse the descriptive statistics of psychological data sets in SPSS. 4
- 02 They summarize the data sets by using graphs in SPSS 4
- 03 They can hypothesize the research problems 5
- 04 They can apply proper t tests for comparing two population means based on given research problems in SPSS. 4
- 05 They can appraise and apply the variance analysis for comparing group means more than two in SPSS 4
Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | Introduction to the course; basic concepts and terms related to descriptive and inferential statistics. |
| Week 2 | Entering data collected to the computer, organizing and getting data ready for statistical analyses |
| Week 3 | normal distribution and sampling distribution of the mean; establishing confidence intervals |
| Week 4 | Graphs in SPSS |
| Week 5 | Descriptive statistics: Measures of central tendency and position measurements (arithmetic mean, median, mode, percentile and quartile) |
| Week 6 | Descriptive statistics: measures of variability (range, variance, standard deviation); display of data. |
| Week 7 | Standard error and confidence interval |
| Week 8 | writing research questions, research hypotheses, null hypotheses; hypothesis testing. |
| Week 9 | Inferential statistics: t-test applications (one-sample t-test, independent samples t-test, dependent samples t-test) |
| Week 10 | Inferential statistics: t-test applications (one-sample t-test, independent samples t-test, dependent samples t-test) |
| Week 11 | Midterm Exams |
| Week 12 | Inferential statistics: t-test applications (one-sample t-test) |
| Week 13 | Analysis of variance applications (one-way ANOVA) |
| Week 14 | Analysis of variance applications |
| Week 15 | Final Exams |
Reference Books & Course Materials
- 01 Green, S. B., Salkind, N. J. (2014). Using SPSS For Windows And Macintosh -7TH Edition. Boston: Pearson.
- 02 Elzey, F. F. (1985). Elementary Statistical Techniques. California: Brooks/Cole.
- 03 Coursepack prepared by the instructor.
Learning Outcomes
No learning outcomes have been defined.
Program Outcomes
- 1. Apply theories and concepts of educational administration and leadership to analyze and address organizational issues in educational institutions.
- 2. Develop strategic plans by conducting environmental analyses, identifying institutional priorities, setting measurable objectives, and designing appropriate implementation strategies.
- 3. Analyze educational policies, legislation, and governance structures and evaluate their implications for educational organizations and practices.
- 4. Demonstrate effective leadership skills in areas such as organizational change, team development, conflict management, communication, and decision-making.
- 5. Use scientific research methods and evidence-based approaches to investigate problems in educational administration and propose appropriate solutions.
- 6. Analyze organizational structures, cultures, and processes and assess their influence on institutional effectiveness, staff performance, and student outcomes.
- 7. Apply human resource management principles to recruitment, professional development, performance evaluation, motivation, and staff development in educational institutions.
- 8. Use quantitative and qualitative data for managerial decision-making, institutional evaluation, planning, and continuous improvement.
- 9. Evaluate educational organizations from the perspectives of quality assurance, accountability, effectiveness, equity, inclusion, and sustainability.
- 10. Manage organizational change and innovation by developing strategies that respond to technological, social, cultural, economic, and educational developments.
- 11. Demonstrate ethical and socially responsible leadership, taking into consideration professional ethics, social justice, diversity, equity, and stakeholder needs.
- 12. Develop effective communication and collaboration mechanisms with teachers, students, families, policymakers, and other internal and external stakeholders.
- 13. Apply financial, physical, technological, and other institutional resources effectively in accordance with organizational goals and priorities.
- 14. Compare national and international educational administration systems and practices and critically evaluate their relevance to different educational contexts.
- 15. Engage in reflective practice and continuous professional development and demonstrate the capacity to contribute to the advancement of knowledge and practice in educational administration and planning.
Po-Lo Matrix
The PO-LO matrix has not been populated yet.