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Information
| Code | EMG28709 |
| Name | Statistical Data Analysis |
| Term | 2023-2024 Academic Year |
| Term | Fall and Spring |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Uzaktan Öğretim |
| Catalog Information Coordinator | Dr. Öğr. Üyesi MERT DEMİRCİOĞLU |
| Course Instructor |
1 |
Course Goal / Objective
This course aims to help students analyze statistical data used in daily business life and help them to learn how to use the statistical analysis methods to interpret the results by using useful computer applications.
Course Content
This course is an applied statistics course focusing on data analysis. The course will begin with an overview of how to organize, perform, and write-up data analyses. Also, performing statistical analysis by using a statistical program is another content matter.
Course Precondition
None
Resources
Newbold, P. (2013). Statistics for business and economics. Pearson.
Notes
İşletme Ve İktisat İçin İstatistik 8. Basımdan Çeviri Literatür Yayınları
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Uses statistical package program to analyse data |
| LO02 | Learns how to organize data and how to enter this data into the statistical program. |
| LO03 | Carries out analyses by using descriptive statistics and frequency tables. |
| LO04 | Learns how to carry out one way variance analysis, |
| LO05 | Learns how to carry out regression and correlation analysis. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Defining the basic functions of the business and explaining their relations with each other from the point of view of technology. | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Defining the basic numerical and statistical methods that can be used in solving problems that may be encountered in businesses. | 5 |
| PLO03 | Bilgi - Kuramsal, Olgusal | To apply numerical and statistical methods and models used in problem solving in businesses. | 5 |
| PLO04 | Bilgi - Kuramsal, Olgusal | Interpreting the models created for the problems by solving them with software. | |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | To be able to define business problems arising from technological and global changes. | |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | To be able to solve basic business problems with analytical thinking ability. | 5 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | To be able to reach the most appropriate result by using numerical and statistical analysis programs in solving the problems arising from the production process and supply chain of the enterprise. | 4 |
| PLO08 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Working effectively as a team member, taking responsibility individually and/or within the team. | |
| PLO09 | Yetkinlikler - Öğrenme Yetkinliği | Self-development by being aware of change in business life and following technological developments. | |
| PLO10 | Yetkinlikler - Öğrenme Yetkinliği | Synthesizing the information obtained by using different sources within the framework of academic rules. | |
| PLO11 | Yetkinlikler - Öğrenme Yetkinliği | Applying technological changes and developments to their own field. | |
| PLO12 | Yetkinlikler - Öğrenme Yetkinliği | To interpret the possible consequences of changes in environmental conditions and technology on the business and its functions. | |
| PLO13 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Effectively presenting the information and comments obtained by using different sources within the framework of academic rules, verbally and in writing. | 2 |
| PLO14 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Effectively using new communication channels that have emerged with technological development in written and oral presentations. | 2 |
| PLO15 | Yetkinlikler - Alana Özgü Yetkinlik | To act in accordance with ethical and legal issues encountered in business science and different professional fields. | |
| PLO16 | Yetkinlikler - Alana Özgü Yetkinlik | Identifying the problems that arise in the supply chain and suggesting technological solutions. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Basic Statistical Information: mean, median.. | Reading the given materials | Öğretim Yöntemleri: Anlatım, Tartışma |
| 2 | Basic Statistical Information | Reading the given materials | Öğretim Yöntemleri: Anlatım, Tartışma |
| 3 | Drawing graphic and organizing table. Types of graphics and tables | Reading the given materials | Öğretim Yöntemleri: Anlatım, Tartışma |
| 4 | Sample and data types. | Reading the given materials | Öğretim Yöntemleri: Anlatım, Tartışma |
| 5 | Data types | Reading the given materials | Öğretim Yöntemleri: Anlatım, Tartışma |
| 6 | Probability distributions (normal, binom, poisson) | Reading the given materials | Öğretim Yöntemleri: Anlatım, Tartışma |
| 7 | Probability distributions | Reading the given materials | Öğretim Yöntemleri: Anlatım, Tartışma |
| 8 | Mid-Term Exam | Exam Preparation | Ölçme Yöntemleri: Yazılı Sınav, Ödev |
| 9 | Hypothesis tests | Reading the given materials | Öğretim Yöntemleri: Anlatım, Tartışma |
| 10 | Hypothesis Tests Continued | Reading the given materials | Öğretim Yöntemleri: Anlatım, Tartışma |
| 11 | Casual Forecasting Methods | Reading the given materials | Öğretim Yöntemleri: Anlatım, Tartışma |
| 12 | Regression analysis | Reading the given materials | Öğretim Yöntemleri: Anlatım, Tartışma |
| 13 | Multiple Regression Analysis, Correlation Analysis. | Reading the given materials | Öğretim Yöntemleri: Anlatım, Tartışma |
| 14 | Decision Theory | Reading the given materials | Öğretim Yöntemleri: Anlatım, Tartışma |
| 15 | Simulation | Reading the given materials | Öğretim Yöntemleri: Anlatım, Tartışma |
| 16 | Final Exam | Exam Preparation | Ölçme Yöntemleri: Yazılı Sınav, Ödev |
| 17 | Final Exam | Exam Preparation | Ölçme Yöntemleri: Yazılı Sınav, Ödev |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||