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| Course Description |
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| Course Name |
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Statistical Data Analysis |
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| Course Code |
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EMG24 703 |
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| Course Type |
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Optional |
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| Level of Course |
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Second Cycle |
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| Year of Study |
: |
1 |
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| Course Semester |
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Spring (16 Weeks) |
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| ECTS |
: |
5 |
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| Name of Lecturer(s) |
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Asst.Prof.Dr. MERTDEMİRCİOĞLU
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| Learning Outcomes of the Course |
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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 |
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Distant |
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| Prerequisites and Co-Prerequisites |
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None |
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| Recommended Optional Programme Components |
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None |
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| Aim(s) of Course |
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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 |
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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 |
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Turkish |
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| Work Place |
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Online |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
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1 |
Basic Statistical Information: mean, median.. |
Reading the given materials. |
Slide Presentation |
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2 |
Basic Statistical Information part continuees. |
Reading the given materials. |
Discussion |
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3 |
Drawing graphic and organizing table and their sorts. |
Reading the given materials. |
Slide Presentation |
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4 |
Sample and data types. |
Reading the given materials. |
Slide Presentation |
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5 |
Data types continue. |
Reading the given materials. |
Project Discussion |
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6 |
Probability distributions ( Normal,Binom,Poisson) |
Reading the given materials. |
Project Discussion |
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7 |
Probability distributions continue. |
Reading the given materials. |
Slide Presentation |
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8 |
Midterm Exam |
Preparation for Exam |
Preparation for Exam |
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9 |
Hypothesis tests |
Reading the given materials. |
Slide Presentation |
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10 |
Hypothesis tests continue. |
Reading the given materials. |
Slide Presentation |
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11 |
Casual Forecasting Methods |
Reading the given materials. |
Slide Presentation |
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12 |
Regression analysis |
Reading the given materials. |
Slide Presentation |
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13 |
Multiple Regression Analysis, Correlation Analysis. |
Reading the given materials. |
Slide Presentation |
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14 |
Decision Theory |
Reading the given materials. |
Slide Presentation |
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15 |
Simulation |
Reading the given materials. |
Slide Presentation |
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16/17 |
Final Exam |
Preparation for Exam |
Preparation for Exam |
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Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
 Probability and Statistic,Fikri AKDENİZ (Language of book: Turkish )
Quantitative Decision Making Techniques for Business Administrator by using Excel, Erkut DÜZAKIN, ADANA.(Language of Book: Turkish)
Management Science, Render and Stair, USA
Operations Research, Winston, USA
Statistics For Business and Economics, Paul Newbold, Prentice-Hall
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| |
| Required Course Material(s) |
Business Statistics in Practice, Bowerman B.L., O’Connel R.T. & Hand M.L., McGraw Hill
Bowerman B.L. & O’Connel R.T. Forecasting and Time Series: Applied Approach, Duxbury
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Assessment Methods and Assessment Criteria |
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Semester/Year Assessments |
Number |
Contribution Percentage |
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Mid-term Exams (Written, Oral, etc.) |
1 |
60 |
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Homeworks/Projects/Others |
1 |
40 |
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Total |
100 |
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Rate of Semester/Year Assessments to Success |
40 |
| |
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Final Assessments
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100 |
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Rate of Final Assessments to Success
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60 |
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Total |
100 |
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| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
|
1 |
Can explain how to create the basic theoretical models of business and new management in literature and how to implement numarical and statistics methods. |
5 |
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2 |
Have ability to explaine and interpret the data which is obtained as a result of constitution/ application of theoretical models of business management |
5 |
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3 |
Have the ability to list, describe and explain the relationship between the terms which blong to financial management, accounting management, production management, marketing management, management organization and numerical methods. |
5 |
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4 |
Have 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 |
|
5 |
can determine the appropriate methods to solve the problems faced by the company. |
3 |
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6 |
Can implement business management methods through following the fundamental steps. |
3 |
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7 |
Can use the basic techniques of financial analysis to achieving the best result. |
5 |
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8 |
Can take responsibility as an indivicual and/or as a part of a team, can lead and work effectively. |
3 |
|
9 |
In recognition of the need for lifelong learning and continuous self-renewal tracking the latest developments in the field of business administration. |
3 |
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10 |
Have 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
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3 |
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11 |
can use Turkish and at least one foreign language in accordance with the requirements of academic life and work life. |
3 |
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12 |
Have ability to practice and methods of inquiry, if he considers it necessary to develop and implement new ways of working. |
3 |
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13 |
Have abiliity to research on the science of business administration, to form the basis for the decision-making process. |
5 |
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14 |
Have ability ro 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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| Student Workload - ECTS |
| Works | Number | Time (Hour) | Total Workload (Hour) |
| Course Related Works |
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Class Time (Exam weeks are excluded) |
14 |
3 |
42 |
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Out of Class Study (Preliminary Work, Practice) |
14 |
2 |
28 |
| Assesment Related Works |
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Homeworks, Projects, Others |
1 |
20 |
20 |
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Mid-term Exams (Written, Oral, etc.) |
1 |
20 |
20 |
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Final Exam |
1 |
20 |
20 |
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Total Workload: | 130 |
| Total Workload / 25 (h): | 5.2 |
| ECTS Credit: | 5 |
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