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 1- To have advanced theoretical and practical knowledge supported by textbooks, application tools and other resources including current information in the field of Accounting and Finance.
- P02 2- To be able to use advanced theoretical and practical knowledge acquired in the field of Accounting and Finance.
- P03 3- To be able to interpret and evaluate data, identify problems, analyze and develop solutions based on research and evidence by using advanced knowledge and skills acquired in the field of Accounting and Finance.
- P04 4- To be able to take responsibility as an individual and a team member in order to solve complex and unpredictable problems in accounting and finance applications.
- P05 5- To be able to plan and manage activities for the development of employees under the responsibility of a project.
- P06 6- To be able to determine the learning requirements in the field of Accounting and Finance and to direct their learning.
- P07 7- To be able to inform people and institutions about issues related to the field of accounting and finance, and to be able to transfer their ideas and solution proposals in writing and orally.
- P08 8- To be able to use information and communication technologies together with computer software at the European Computer Driving License Advanced Level required by the field of Accounting and Finance.
- P09 9- To act in accordance with social, scientific, cultural and ethical values in the stages of collecting, interpreting, applying and announcing the results related to the field of accounting and finance.
Po-Lo Matrix
The PO-LO matrix has not been populated yet.