EMG28709 Statistical Data Analysis

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code EMG28709
Name Statistical Data Analysis
Term 2022-2023 Academic Year
Semester . Semester
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 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

Update Time: 22.11.2022 06:10