| LOGISTIC MANAGEMENT | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| ECO2062 | Applied Statistics | Spring | 3 | 0 | 3 | 6 |
| The course opens with the approval of the Department at the beginning of each semester |
| Language of instruction: | En |
| Type of course: | Must Course |
| Course Level: | Bachelor |
| Mode of Delivery: | Hybrid |
| Course Coordinator : | Dr. Öğr. Üyesi SERKAN YEŞİLYURT |
| Course Lecturer(s): |
Dr. Öğr. Üyesi AYSE ERTUĞRUL BAYKAN Prof. Dr. İPEK ALTINBAŞAK FARİNA |
| Course Objectives: | To apply and interpret the results of a variety of statistical techniques from both descriptive and inferential statistics |
|
The students who have succeeded in this course; 1. The concept of the sampling distribution and to compute probabilities related to the sample mean and the sample proportion 2. To construct and interpret confidence interval estimates for the mean and the proportion 3. The basic principles of hypothesis testing and how to use hypothesis testing to test a mean or proportion 4. How to use hypothesis testing for comparing the difference between the means and proportion of populations 5. How to use one-way and two-way analysis of variance to test for differences among the means of several populations 6. How and when to use the chi-square test for contingency tables and how to use the chi-square test for a variance or standard deviation 7. How to use regression analysis to investigate the relationship between variables. |
| Sampling and Sampling Distributions Sampling Distribution Properties Point and Interval Estimates Confidence Interval for population mean Confidence Intervals for the Population Proportion, π Fundamentals of Hypothesis Testing: One-Sample Tests Hypothesis Testing for Mean and Proportion Two-Sample Tests for Mean Two-Sample Tests for Proportion One-Way Analysis of Variance Two-Way Analysis of Variance Chi-Square Tests and Nonparametric Tests Introduction to Simple Linear Regression |
| Week | Subject | Related Preparation | |
| 1) | Sampling and Sampling Distributions | ||
| 2) | Point and Interval Estimates | ||
| 3) | Sampling Distribution Properties | ||
| 4) | Confidence Interval for population mean | ||
| 5) | Confidence Intervals for the Population Proportion, π | ||
| 6) | Fundamentals of Hypothesis Testing: One-Sample Tests | ||
| 7) | Hypothesis Testing for Mean and Proportion | ||
| 8) | Review | ||
| 9) | Two-Sample Tests for Mean | ||
| 10) | Two-Sample Tests for Proportion | ||
| 11) | Analysis of Variance | ||
| 12) | Chi-Square Tests and Nonparametric Tests | ||
| 13) | Introduction to Simple Linear Regression | ||
| 14) | Review | ||
| Course Notes: | Basic Business Statistics Concepts and Applications Mark L. Brenson, David M. Levine, Timothy C. Krehbiel, Pearson Education Prentice Hal. |
| References: | . |
| Semester Requirements | Number of Activities | Level of Contribution |
| Attendance | 0 | % 0 |
| Laboratory | 0 | % 0 |
| Application | 0 | % 0 |
| Field Work | 0 | % 0 |
| Special Course Internship (Work Placement) | 0 | % 0 |
| Quizzes | 0 | % 0 |
| Homework Assignments | 4 | % 20 |
| Presentation | 0 | % 0 |
| Project | 0 | % 0 |
| Seminar | 0 | % 0 |
| Midterms | 1 | % 35 |
| Preliminary Jury | 0 | % 0 |
| Final | 1 | % 45 |
| Paper Submission | 0 | % 0 |
| Jury | 0 | % 0 |
| Bütünleme | % 0 | |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 55 | |
| PERCENTAGE OF FINAL WORK | % 45 | |
| Total | % 100 | |
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 16 | 3 | 48 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Special Course Internship (Work Placement) | 0 | 0 | 0 |
| Field Work | 0 | 0 | 0 |
| Study Hours Out of Class | 14 | 7 | 98 |
| Presentations / Seminar | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Homework Assignments | 0 | 0 | 0 |
| Quizzes | 0 | 0 | 0 |
| Preliminary Jury | 0 | ||
| Midterms | 1 | 2 | 2 |
| Paper Submission | 0 | ||
| Jury | 0 | ||
| 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) | To correctly identify the problems and to be able to ask the correct questions | |
| 2) | To have the ability for problem solving and to utilize analytical approach in dealing with the problems | 3 |
| 3) | To be able to identify business processes and use them to increase the productivity in logistics system. | |
| 4) | To be fully prepared for a graduate study | 4 |
| 5) | Awareness of the new advancements in Information and Communications Technologies (ICT) and to be able to use them in logistics management effectively. internet and the electronic world | |
| 6) | To understand the components of logistics as well as the importance of the coordination among these components. | |
| 7) | To know the necessary ingredients for improving the productivity in business life | |
| 8) | To think innovatively and creatively in complex situations | |
| 9) | To act and think both regionally and internationally | |
| 10) | To understand the demands and particular questions of globalization | |
| 11) | Aware of the two way interaction between globalization and logistics; as well as to use this interaction for increasing the productivity. | |
| 12) | To be able to use at least one foreign language both for communication and academic purposes | |
| 13) | To acquire leadership qualities but also to know how to be a team member | |
| 14) | To understand the importance of business ethics and to apply business ethics as a principal guide in both business and academic environment |