| Course Description |
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| Course Name |
: |
Statistical Data Analysis |
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| Course Code |
: |
EMG28 709 |
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| Course Type |
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Compulsory |
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| Level of Course |
: |
Second Cycle |
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| Year of Study |
: |
1 |
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| Course Semester |
: |
Fall (16 Weeks) |
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| ECTS |
: |
6 |
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| Name of Lecturer(s) |
: |
Asst.Prof.Dr. MERTDEMİRCİOĞLU
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| Learning Outcomes of the Course |
: |
Using statistical package program to make data analysis.
Learning how to organize data and how to make the entrance of data into the statistical program.
Making analysis about descriptive statistics and frequency tables.
Learning how to make one way variance analysis, regression and correlation analysis.
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|
| Mode of Delivery |
: |
Distant |
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| Prerequisites and Co-Prerequisites |
: |
None |
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| Recommended Optional Programme Components |
: |
None |
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| Aim(s) of Course |
: |
This course aims to analyze statistical data about business problems and interpret the statistical analysis result by using a useful computer applications. |
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| Course Contents |
: |
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 application by using a statistical program is another content matter. |
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| Language of Instruction |
: |
Turkish |
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| Work Place |
: |
Online |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
|
1 |
Basic Statistical Information: mean, median.. |
Reading the given materials. |
Presentation and Discussion |
|
2 |
Basic Statistical Information part continues. |
Reading the given materials. |
Presentation and Discussion |
|
3 |
Drawing graphic and organizing table and their sorts. |
Reading the given materials. |
Presentation and Discussion |
|
4 |
Sample and data types. |
Reading the given materials. |
Presentation and Discussion |
|
5 |
Data types continue. |
Reading the given materials. |
Presentation and Discussion |
|
6 |
Probability distributions ( Normal,Binom,Poisson) |
Reading the given materials. |
Presentation and Discussion |
|
7 |
Probability distributions continue. |
Reading the given materials. |
Presentation and Discussion |
|
8 |
Midterm Exam |
Exam Preparation |
Exam Preparation |
|
9 |
Hypothesis tests |
Reading the given materials. |
Presentation and Discussion |
|
10 |
Hypothesis tests continue. |
Reading the given materials. |
Presentation and Discussion |
|
11 |
Casual Forecasting Methods |
Reading the given materials. |
Presentation and Discussion |
|
12 |
Regression analysis |
Reading the given materials. |
Presentation and Discussion |
|
13 |
Multiple Regression Analysis, Correlation Analysis. |
Reading the given materials. |
Presentation and Discussion |
|
14 |
Decision Theory |
Reading the given materials. |
Presentation and Discussion |
|
15 |
Simulation |
Reading the given materials. |
Presentation and Discussion |
|
16/17 |
Final Exam |
Exam Preparation |
Exam Preparation |
|
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Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
 Bowerman B.L. & O’Connel R.T. Forecasting and Time Series: Applied Approach, Duxbury
Quantitative Decision Making Techniques for Business Administrator by using Excel, Erkut DÜZAKIN, ADANA.(Language of Book: Turkish)
Probability and Statistic,Fikri AKDENİZ (Language of book: Turkish )
Management Science, Render and Stair, USA
Operations Research, Winston, USA
Statistics For Business and Economics, Paul Newbold, Prentice-Hall
|
| |
| Required Course Material(s) |
Business Statistics in Practice, Bowerman B.L., O’Connel R.T. & Hand M.L., McGraw Hill
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| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
|
1 |
The ability to list, describe and explain the relationship between the terms which belong to production management and numerical methods
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5 |
|
2 |
The ability to explain how to create the basic theoretical models of business and new management in literature and how to implement numarical and statistics methods.
|
5 |
|
3 |
The ability to determine proper methods for solving problems |
3 |
|
4 |
The ability to apply the basic steps of business admiinistration |
3 |
|
5 |
The ability to use the basic techniques of basic statistical analysis to achieving the best result. |
5 |
|
6 |
The ability to take responsibility as an indivicual and/or as a part of a team, can lead and work effectively. |
3 |
|
7 |
In recognition of the need for lifelong learning and continuous self-renewal tracking the latest developments in his/her field. |
3 |
|
8 |
The ability to list,describe the basic theoretical models of business administration, and explain the aim of usage of the models; indicate the strenghts and weaknesses parts of each model and/or methods |
5 |
|
9 |
The ability to use of different sources under the rules of the academic, synthesize the information obtained in a new field of business administration
and present effectively |
3 |
|
10 |
The ability to practice and evaluate methods if it is needed, to develop and implement new ways of working. |
3 |
|
11 |
The abiliity to research on the science of business administration, to form the basis for the decision-making process. |
5 |
|
12 |
The ability to determine the business manaement approaches, application and methods which are appropriate for the business’s sector, growth, resources, culture, goals and aims.
|
3 |
| * Contribution levels are between 0 (not) and 5 (maximum). |
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