In this course the student will learn how to identify the data structures used in management, sales, marketing, production management, finance, and accounting, how to collect data from primary sources, hot to organize the collected data, how to describe, and how to analyse them according to the aim of the reaearch. at the end of the course the students will be able to analyse the problems which could arise in any business analytical, to offer the needed solutions, to forecast the future of the business and to determine the causality relatios in the businesses. Besides they will be able to use SPSS, MPlus and Eviews.
Prerequisite(s)
None
Corequisite(s)
None
Special Requisite(s)
.
Instructor(s)
Assist. Prof. Dr. Burçin Ataseven
Course Assistant(s)
Schedule
Tuesday 18:00-21:00 Ataköy Campus 4c 07/09/11/13
Office Hour(s)
.
Teaching Methods and Techniques
--Lectures, application sampling.
Principle Sources
· Maxwell, S. E., & Delaney, H. D. (2004). Designing experiments and analyzing data: A model comparison perspective (2nd ed.). Mahwah, NJ, US: Lawrence Erlbaum Associates Publishers.
· Fernandes, Marcelo. (2009). Statistics for Business and Economics.
· Statistics for Business & Economics, Revised 13th Edition by David R. Anderson; Dennis J. Sweeney; Thomas A. Williams and Publisher Cengage Learning.
· SPSS, Eviews, Mplus.
Other Sources
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Course Schedules
Week
Contents
Learning Methods
1. Week
The definitons of research and data analyses. The selection of suitable technique to analyse the data
Lecture
2. Week
Descriptive statistics
Lecture
3. Week
Hypothesis Testing, parametric techniques
Lecture
4. Week
Hypothesis Testing, parametric techniques
Lecture
5. Week
Nonparametric techniques
Lecture
6. Week
Relationship analysis
Lecture
7. Week
Relationship analysis
Lecture
8. Week
Midterm
Exam
9. Week
Multivariate analysis techniques
Lecture
10. Week
Multivariate analysis techniques
Lecture
11. Week
SPSS Applications
Application
12. Week
SPSS Applications
Application
13. Week
Eviews Applications
Application
14. Week
Mplus Applications
Application
15. Week
Final Exams
Exam
16. Week
17. Week
Assessments
Evaluation tools
Quantity
Weight(%)
Midterm(s)
1
40
Final Exam
1
60
Program Outcomes
PO-1
Students will gain the ability to apply, analyze and synthesize their mathematical and social knowledge to business problems.
PO-2
Will be able to apply and adapt basic information about other disciplines (economics, sociology, psychology, numerical sciences, etc.) that form the basis of business management and make creative evaluations by using this information in the field of business.
PO-3
Will have basic knowledge in the field of business functions and management (management, production, marketing, accounting, finance, HRM, behavior, etc.), will be able to criticize, interpret and adapt theoretical discussions covering the relations between actors and cultures in this field.
PO-4
Will be able to design, create and evaluate a process related to business functions at every stage in line with a defined goal.
PO-5
Will be able to define and evaluate activities and relationships in business-related fields; will be able to solve problems by defining, modeling and making comments, suggesting solutions and making necessary critical decisions. (critical thinking).
Learning Outcomes
LO-1
The students will be able to collect the data, to prepare the data to be analysed, and to analyze the data by using statistical programs.
LO-2
The students will be able to use statistical techniques to visualize and analyze the data
LO-3
The students will be able to use statisticak and quantitative techniques to provide information from the data and to forecast
LO-4
The students will gain knowledge about contemporary, theoretical and practical informations in the field of statistics.
LO-5
The students will be able to analyze the contemporary problems with statistical techniques.
