| ECONOMICS | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| ECO2063 | Statistics for Economics | Fall | 3 | 0 | 3 | 6 |
| Language of instruction: | English |
| Type of course: | Must Course |
| Course Level: | Bachelor’s Degree (First Cycle) |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Assist. Prof. SERKAN YEŞİLYURT |
| Course Lecturer(s): |
Assist. Prof. AYSE ERTUĞRUL BAYKAN Assist. Prof. SERKAN YEŞİLYURT |
| Course Objectives: | The objective of this course is to familiarize the students with the basic concepts of statistics and statistical computing with R software language to provide a solid foundation for further study and/or employment involving data analysis. |
|
The students who have succeeded in this course; • Explain the basic concepts, elements and objectives of inferential statistics • Make inferential statistical analysis on a given data • Use corresponding technology that inference procedures require actively learn and develop computer-based skills of inferential methods • Apply inferential methods to enhance data-based decisions. • Effectively communicate the results obtained from statistical analysis • Make analytical inferences about and interpret publicly available information |
| The teaching methods of the course are Lecture, Technology-Enhanced Learning,Problem Solving. Students learn, within the scope of this course, the basic elements of inferential statistics such as theoretical framework of sampling distribution, confidence interval and hypothesis testing, along with R Studio applications. |
| Week | Subject | Related Preparation |
| 1) | Introduction | Reminder of R Concepts and Applied Statistics Getting Started with R Installing R Typing commands at R console Simple calculation with R Using basic functions |
| 2) | R Concepts and Applied Statistics | Reminder of R Concepts and Applied Statistics Using commands Installing and loading related Packages for applied statistics Managing working directory Loading different extensions Data (csv, excel, rds) |
| 3) | Örnekleme ve Örnekleme Dağılımı | Chapter 6 (Newbold & Carlson & Thorne) |
| 4) | Sampling and Sampling Distribution | Chapter 6 (Newbold & Carlson & Thorne) |
| 5) | Confidence Interval Estimation: One Population | Chapter 7 (Newbold & Carlson & Thorne) |
| 6) | Confidence Interval Estimation: One Population | Chapter 7 (Newbold & Carlson & Thorne) |
| 7) | Confidence Interval Estimation: One Population | Chapter 7 (Newbold & Carlson & Thorne) |
| 8) | Midterm Exam | |
| 9) | Confidence Interval Estimation: Difference Between Normal Population Means | Chapter 8 (Newbold & Carlson & Thorne) |
| 10) | Confidence Interval Estimation: Difference Between Normal Population Proportions | Chapter 8 (Newbold & Carlson & Thorne) |
| 11) | Hypothesis Tests of a Single Population | Chapter 9 (Newbold & Carlson & Thorne) |
| 12) | Hypothesis Tests of a Single Population | Chapter 9 (Newbold & Carlson & Thorne) |
| 13) | Hypothesis Tests of a Two Population | Chapter 10 (Newbold & Carlson & Thorne) |
| 14) | Hypothesis Tests of a Two Population | Chapter 10 (Newbold & Carlson & Thorne) |
| Course Notes / Textbooks: | The main textbook of the course: Newbold, P., Carlson, W.L., Thorne, B., (2024), (NCT abbreviation) Statistics For Business and Economics, 10th Global Edition. Learning platform: MyLab Statistics The ebook and the slides of the textbook through Pearson learning platform MyLab Statistics. Students will submit their three HWs over this platform. |
| References: | D.R. Anderson, D.J. Sweeney and T.A. Williams, Freeman, J., Shoesmith, E. (2014), Statistics for Business and Economics, South-Western Cengage Learning. 3rd Edition. (2nd ed. can also be used.) For the students who would like to follow one textbook and the statistical terminology in Turkish: Şenesen, Ümit, İstatistik, Sayıların Arkasını Anlamak, Literatür Yayıncılık, (2013), İstanbul. |
| Semester Requirements | Number of Activities | Level of Contribution |
| Attendance | 14 | % 5 |
| Homework Assignments | 3 | % 20 |
| Midterms | 1 | % 35 |
| Final | 1 | % 40 |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 60 | |
| PERCENTAGE OF FINAL WORK | % 40 | |
| Total | % 100 | |
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 13 | 3 | 39 |
| Study Hours Out of Class | 14 | 7 | 98 |
| Homework Assignments | 2 | 5 | 10 |
| Midterms | 1 | 1 | 1 |
| Final | 1 | 2 | 2 |
| Total Workload | 150 | ||
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | As a world citizen, she is aware of global economic, political, social and ecological developments and trends. | 4 |
| 2) | He/she is equipped to closely follow the technological progress required by global and local dynamics and to continue learning. | 4 |
| 3) | Absorbs basic economic principles and analysis methods and uses them to evaluate daily events. | 5 |
| 4) | Uses quantitative and statistical tools to identify economic problems, analyze them, and share their findings with relevant stakeholders. | 5 |
| 5) | Understands the decision-making stages of economic units under existing constraints and incentives, examines the interactions and possible future effects of these decisions. | 4 |
| 6) | Comprehends new ways of doing business using digital technologies. and new market structures. | 4 |
| 7) | Takes critical approach to economic and social problems and develops analytical solutions. | 4 |
| 8) | Has the necessary mathematical equipment to produce analytical solutions and use quantitative research methods. | 5 |
| 9) | In the works he/she contributes, observes individual and social welfare together and with an ethical perspective. | 3 |
| 10) | Deals with economic problems with an interdisciplinary approach and seeks solutions by making use of different disciplines. | 4 |
| 11) | Generates original and innovative ideas in the works she/he contributes as part of a team. | 3 |