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COURSE INTRODUCTION AND APPLICATION INFORMATION
eco.ieu.edu.tr
| Course Name | |
| Code | Semester | Theory (hour/week) | Application/Lab (hour/week) | Local Credits | ECTS |
|---|---|---|---|---|---|
| Spring |
| Prerequisites |
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| Course Language | |||||||||
| Course Type | Required | ||||||||
| Course Level | - | ||||||||
| Mode of Delivery | - | ||||||||
| Teaching Methods and Techniques of the Course | |||||||||
| Course Coordinator | |||||||||
| Course Lecturer(s) | |||||||||
| Assistant(s) | - | ||||||||
| Course Objectives | |
| Learning Outcomes | The students who succeeded in this course;
|
| Course Description |
|
| Core Courses | |
| Major Area Courses | ||
| Supportive Courses | ||
| Media and Managment Skills Courses | ||
| Transferable Skill Courses |
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Required Materials |
| 1 | Sampling distributions: distributions of the sample mean and sample proportions | Statistics and Business Economics by P. Newbold W. L. Carlson, B. Thorne, 8/e, Prentice Hall: 6.1-6.2 (244:264) |
| 2 | Sampling distributions: distributions of the sample variance. | Statistics and Business Economics by P. Newbold W. L. Carlson, B. Thorne, 8/e, Prentice Hall: 6.3-6.4 (265:283) |
| 3 | Confidence interval estimation for the mean of a normal distribution when the population variance is known and when it is unknown. | Statistics and Business Economics by P. Newbold W. L. Carlson, B. Thorne, 8/e, Prentice Hall: 7.1-7.3 (284:302) |
| 4 | Confidence interval estimation for population proportions and population variance. Sample size determination. | Statistics and Business Economics by P. Newbold W. L. Carlson, B. Thorne, 8/e, Prentice Hall: 7.4-7.8 (303:327) |
| 5 | Confidence interval estimation of the difference between two normal population means: dependent and independent samples. Confidence interval estimation of the difference between two population proportions. | Statistics and Business Economics by P. Newbold W. L. Carlson, B. Thorne, 8/e, Prentice Hall: 8.1-8.3 (328:345) |
| 6 | Concepts of hypothesis testing. Hypothesis test of the mean of a normal distribution when the population variance is known. | Statistics and Business Economics by P. Newbold W. L. Carlson, B. Thorne, 8/e, Prentice Hall: 9.1,9.2 (346:361) |
| 7 | Hypothesis test of the mean of a normal distribution when the population variance is unknown. Tests of the population proportion. | Statistics and Business Economics by P. Newbold W. L. Carlson, B. Thorne, 8/e, Prentice Hall: 9.3,9.4 (385:398) |
| 8 | Hypothesis test of the difference between two normal population means for dependent and independent samples. Tests of the difference between two population proportions. | Statistics and Business Economics by P. Newbold W. L. Carlson, B. Thorne, 8/e, Prentice Hall: 10.1-10.3 (385:402) |
| 9 | Linear models, Least squares regression technique. Linear Regression model. | Statistics and Business Economics by P. Newbold W. L. Carlson, B. Thorne, 8/e, Prentice Hall: 11.1,11.2 (417:426) |
| 10 | Least squares coefficient estimators. The explanatory power of a linear Regression equation, Analysis of variance. Coefficient of determination. | Statistics and Business Economics by P. Newbold W. L. Carlson, B. Thorne, 8/e, Prentice Hall: 11.3,11.4 (427:437) |
| 11 | Hypothesis test and confidence intervals for the population regression slope. Hypothesis test for the population slope using F distribution. Forecast and Prediction intervals. | Statistics and Business Economics by P. Newbold W. L. Carlson, B. Thorne, 8/e, Prentice Hall: 11.5,11.6 (438:451) |
| 12 | Correlation analysis with hypothesis test for correlation. | Statistics and Business Economics by P. Newbold W. L. Carlson, B. Thorne, 8/e, Prentice Hall: 11.7 (452:455) |
| 13 | The multiple regression model. Least squares estimation and sample multiple regression. The explanatory power of a multiple regression equation. Adjusted coefficient of determination and coefficient of multiple correlation. | Statistics and Business Economics by P. Newbold W. L. Carlson, B. Thorne, 8/e, Prentice Hall: 12.1,12.2, 12.3 (473:492) |
| 14 | Confidence intervals and hypothesis tests for individual regression coefficients. Test on all coefficients of a multiple regression equation using F distribution | Statistics and Business Economics by P. Newbold W. L. Carlson, B. Thorne, 8/e, Prentice Hall: 12.4,12.5 (493:510) |
| 15 | Review of the semester | |
| 16 | Review of the semester |
| Course Notes/Textbooks | Statistics and Business Economics by P. Newbold W. L. Carlson, B. Thorne; 8/e, Prentice Hall . Chapters 6,7,8,9,10,11,12. |
| Suggested Readings/Materials | Essentials of Contemporary Business statistics by T.A. Williams, D.J. Sweeney, D.R. Anderson,2007, Thomson |
EVALUATION SYSTEM
| Semester Activities | Number | Weigthing |
| Participation | ||
| Laboratory / Application | ||
| Field Work | ||
| Quizzes / Studio Critiques | 3 | 6 |
| Portfolio | ||
| Homework / Assignments | ||
| Presentation / Jury | ||
| Project | ||
| Seminar / Workshop | ||
| Oral Exam | ||
| Midterm | 2 | 60 |
| Final Exam | 1 | 34 |
| Total |
| Weighting of Semester Activities on the Final Grade | 65 | |
| Weighting of End-of-Semester Activities on the Final Grade | 35 | |
| Total |
ECTS / WORKLOAD TABLE
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Course Hours (Including exam week: 16 x total hours) | 16 | 3 | 48 |
| Laboratory / Application Hours (Including exam week: 16 x total hours) | 16 | ||
| Study Hours Out of Class | 15 | 2 | |
| Field Work | |||
| Quizzes / Studio Critiques | 3 | 5 | |
| Portfolio | |||
| Homework / Assignments | |||
| Presentation / Jury | |||
| Project | |||
| Seminar / Workshop | |||
| Oral Exam | |||
| Midterms | 2 | 15 | |
| Final Exams | 1 | 20 | |
| Total | 143 |
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
| # | Program Competencies/Outcomes | * Contribution Level | ||||
1 | 2 | 3 | 4 | 5 | ||
| 1 | To have a sound knowledge of the quantitative and qualitative methods that will help to examine the premises of different theories for an applied subject so that a contribution to solving current economic problems can be made. | X | ||||
| 2 | To have the experience of writing, using software, and doing presentations in the newspapers, magazines, meetings, panels, and in equivalent virtual platforms (internet), in order to share their accumulated knowledge and problem solving ability acquired during their education. | |||||
| 3 | To be able to participate in academic, professional, regional, and global networks and to utilize these networks efficiently. | |||||
| 4 | To have adequate social responsibility and awareness with regards to the needs of the society and to have sufficient experience and qualifications to organize and support the activities to influence the social dynamics in line with the social goals. | |||||
| 5 | To be able to integrate the knowledge and training acquired during the university education with personal and work experience and produce a synthesis of knowledge she requires. | |||||
| 6 | To have the ability to evaluate his/her advance (post graduate) level educational needs and do necessary planning to fulfill those needs through the acquired capability to think analytically and critically. | |||||
| 7 | To have sufficient practical and theoretical knowledge base in order to define the economic agents and their interaction both in the national and global level, to process economic data and to implement scientific research for development of economic policies. | |||||
| 8 | Keeping in mind that economics is a social science, to have the skills to integrate social dynamics into economic process both as an input and an output and to be open to theoretical innovations in this direction. | |||||
| 9 | To associate accumulated knowledge acquired during the university education with historical and cultural qualities of the society and to convey it to different groups. | |||||
| 10 | To be able to follow knowledge and change in economics and communicate with colleagues in a foreign language. | |||||
| 11 | To possess social, scientific and ethical values at the data collection, interpretation and dissemination stages of economic analysis. | |||||
| 12 | To have advanced level of speaking and writing skills of a second foreign language to support continuation of post graduate professional and individual development | |||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest