BASIC STATISTICS-I
- Course
- STAT105 - BASIC STATISTICS-I
- Department
- Basic Sciences and Humanities
- Course Type
- Course
- Status
- Required
- Language
- English
- Credit
- 3
- ECTS
- 5
- T+P+L
- 2 + 2 + 0
- Course Coordinator(s)
- Asst. Prof. Dr. Oluwasuyi Ayobami OBA
- Prerequisite
- -
Course Description
This course aim to provide students elementary introduction to statistical reasoning, including sampling, elementary probability, statistical inference, and data analysis. Based on the first level of statistics in this course the aim is to prepare the students for more complex chapters such as hypothesis testing. Organizing data by frequency distributions and graphics, obtaining and interpreting descriptive statistics for the several distributions are the first step. Learning properties of normal distribution, transforming raw scores into standard scores, using standard scores in relation to norms of psychological tests constitute an important part of this course. Correlation and lineer regression analysis are the most basic analysis that will help students understanding the nature of statistical analysis.
BASIC 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
- L01 1. Identify the main features of statistics.
- L02 2. Apply statistical methods in the problem-solving approach
- L03 3. Compute and interpret descriptive statistics using numerical and graphical techniques to the data through psychological and social research.
- L04 4. Identify and apply the basic cpncepts of probabity to the psychological and social research
Program Outcomes
- P01 Demonstrate comprehensive knowledge of key concepts across the breadth of effective application and use of MIS and innovative information technologies in organizations.
- P02 Demonstrate autonomy and responsibility in managing MIS projects and improving organizational processes
- P03 Demonstrate comprehensive understanding of appropriate enterprise frameworks, theories from the MIS to research and assess contemporary issues in the field and related allied fields and disciplines
- P04 Apply MIS knowledge to facilitate the acquisition, development, deployment, and management of information systems
- P05 Apply MIS knowledge to the exploitation of opportunities created by information technology innovations ensuring the alignment between MIS strategy and organizational strategy
- P06 Demonstrate ethical reasoning in relation to crucial MIS issues such as privacy, information security, and ethical use of information
- P07 Apply appropriate technologies and techniques to the collection and analysis of organizational and environmental data to facilitate evidence-based decision-making
- P08 Analyse organizational data to accurately identify organizational problems and propose solutions using MIS
- P09 Apply effective communication skills consistent with the professional environment
- P10 Apply effective collaboration skills consistent with the professional environment
Po-Lo Matrix
| LO | P01 | P02 | P03 | P04 | P05 | P06 | P07 | P08 | P09 | P10 | Average |
|---|---|---|---|---|---|---|---|---|---|---|---|
| L01 | - | - | - | - | - | - | - | - | - | - | - |
| L02 | - | - | - | - | - | - | - | - | - | - | - |
| L03 | - | - | - | - | - | - | - | - | - | - | - |
| L04 | - | - | - | - | - | - | - | - | - | - | - |