STATISTICS-I
- Course
- STAT205 - STATISTICS-I
- Department
- Basic Sciences and Humanities
- Course Type
- Course
- Status
- Required
- Language
- English
- Credit
- 3
- ECTS
- 5
- T+P+L
- 3 + 0 + 0
- Course Coordinator(s)
- Asst. Prof. Dr. Oluwasuyi Ayobami OBA
- Prerequisite
- -
Course Description
The first aim of this course is the organizing data sets used in business and economics, the representation of these data sets by frequency tables and graphics, the analysis of the characteristics of the distributions by calculating the descriptive statistics. Understanding the properties of normal distribution, making simple area and probability calculations by using tables, converting raw scores into standard scores, learning the applications of normal distribution and standard z-scores in business and economics constitute an important part of the course. Applications of correlation and regression analysis, understanding the relationships between variables and making predictions from these relationships in the fields of business and economics are another important part of the course.
STATISTICS-I
Evaluation Tools (Active Term)
| Item | Type | Weight (%) |
|---|---|---|
| Quiz | Quiz | 15 |
| Midterm | Midterm | 40 |
| Final | Final | 45 |
| Total | 100 | |
Course outcomes
- 01 1. Identify the main features of statistics.
- 02 2. Apply statistical methods in the problem-solving approach
- 03 3. Compute and interpret descriptive statistics using numerical and graphical techniques to the data through psychological and social research.
- 04 4. Identify and apply the basic cpncepts of probabity to the psychological and social research
Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | Course Overview, Syllabus Presentation, Basic Definitions |
| Week 2 | Variable and measurement levels of variables |
| Week 3 | Variable and measurement levels of variables & Frequency Distributions |
| Week 4 | Variable and measurement levels of variables & Frequency Distributions |
| Week 5 | Central Tendency & Dispersion |
| Week 6 | Sample space, Probability and Probability Distributions |
| Week 7 | Midterm week |
| Week 8 | Midterm week & Review |
| Week 9 | Normal Distribution and z scores |
| Week 10 | z scores and their applications |
| Week 11 | Correlation analysis |
| Week 12 | Simple Linear Regression analysis |
| Week 13 | Review for final exam |
| Week 14 | Final Exams |
| Week 15 | - |
Reference Books & Course Materials
- 01 Runyon R.P., Coleman, K.A. And Pittenger, D.L. (2000). Fundamentals of Behavioral Statistics, 9th edition, McGraw-Hill Companies.
- 02 Agresti, A. and Finlay, B. (2009). Statistical Methods for the Social Sciences, 4th edition, Pearson Prentice Hall.
- 03 Dancey, C.P. and Reidy, J. (2007). Statistics without Maths for Psychology, 4th edition, Pearson Prentice Hall.
- 04 Büyüköztürk, Ş., Çokluk, Ö. and Köklü, N. (2011). Sosyal Bilimler İçin İstatistik, 9. baskı, Pegem akademi
Learning Outcomes
No learning outcomes have been defined.
Program Outcomes
- P01 1. Gained the necessary skills to learn and adopt a spirit of continuous learning in their professional life.
- P02 2. Developed various skills by working independently via specific learned techniques that both triggered individual efforts and encouraged collaborative work.
- P03 3. Acquired the essential knowledge and skills to apply key theories, models and applications within the global business context.
- P04 4. Adopted and applied critical and strategic thinking together with research capabilities for efficient and effective business decisions.
- P05 5. Utilized and managed ethically information technologies required for contemporary business world.
- P06 6. Been equipped with conceptual and analytical skills necessary for team work within global organizations.
- P07 7. Displayed their learnt communication skills that are required to effectively interact in a cross cultural and diverse international work environment.
- P08 8. Applied their acquired knowledge within the changing work environment.
- P09 9. Developed an understanding of ethical perspectives and social responsibilities to be used at work and in personal life.
Po-Lo Matrix
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