STATISTICS-II
- Course
- STAT206 - STATISTICS-II
- 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
- Keywords
Course Description
The purpose of the course is to evaluate and analyze the quality of services available to a group or organization, analyzing the behaviors of groups of people in their environment and special situations, and determining the wants of people through statistical sampling. After completing this course the students will be able to define statistical applications for economics, develop an understanding for frequency distribution, calculate the measurement of the central tendency, assess the standard deviation and other measures of dispersion. They will be able to compute the correlation coefficient and covariance, and discuss the elementary concept of probability theory and also sampling theory.
STATISTICS-II
Evaluation Tools (Active Term)
| Item | Type | Weight (%) |
|---|---|---|
| Quiz | Quiz | 15 |
| Midterm | Midterm | 40 |
| Final | Final | 45 |
| Total | 100 | |
Course outcomes
No course outcomes have been defined yet.
Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | Course overview, introduction to hypothesis tests |
| Week 2 | Chi square test |
| Week 3 | Hypothesis Tests |
| Week 4 | Standard error and confidence intervals for population mean |
| Week 5 | One sample t tests |
| Week 6 | Independent sample t tests |
| Week 7 | Dependent sample t tests |
| Week 8 | Dependent sample t tests |
| Week 9 | Midterm Exam |
| Week 10 | One way ANOVA |
| Week 11 | One way ANOVA applications |
| Week 12 | Two-way variance analysis |
| Week 13 | Two-way variance analysis |
| Week 14 | Mixed applications |
| Week 15 | Final exam |
Reference Books & Course Materials
- 01 Larson, R. (2023). Elementary statistics: Picturing the world.
- 02 Agresti, A. & Franklin, C. (2013) Statistics: The Art and Science of Learning from Data, Global Edition, 3rd edition, Pearson
- 03 Runyon, R. P., Coleman, K. A., & Pittenger, D. J. (2000). Fundamentals of behavioral statistics. McGraw-Hill.
Learning Outcomes
No learning outcomes have been defined.
Program Outcomes
- P01 PO1: Engaged in insightful thinking leading to self-learning and lifelong learning.
- P02 PO2: Established a general knowledge of economics sufficient to work independently through specific learned techniques generated via individual efforts and study.
- P03 PO3: Reached the required knowledge and skills to understand social, economic and legal issues both within national, international and global contexts and apply theoretical knowledge of economics to practice.
- P04 PO4: Adopted the ability to critically evaluate, analyze and interpret information gathered through the use of related statistical software programs to suggest creative solutions for economic problems and make relevant economic decisions.
- P05 PO5: Been aware of gathering and analyzing data through the application of appropriate technological tools in an ethical and safe manner in order to generate economic decisions and policy suggestions.
- P06 PO6: Been equipped with conceptual and analytical skills essential for team-working and collaborations for economic decision making for a variety of economic concepts in national and global environment.
- P07 PO7: Endowed with both oral and written communication skills within the economic field to effectively study and work in an international environment
- P08 PO8: Been able to transfer theoretical knowledge to real life economic environment: to generate policies for microeconomic and macroeconomic problems faced by individuals, firms and governments at national, international and global context.
- P09 PO9: Developed an ability to apply economic analysis to everyday problems in real world through the development of ethical perspectives and social responsibilities at work and in personal life.
Po-Lo Matrix
The PO-LO matrix has not been populated yet.