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)
.
Corequisite(s)
.
Special Requisite(s)
.
Instructor(s)
Assist. Prof. Dr. Burçin Ataseven
Course Assistant(s)
Schedule
This course was not opened in the 2022-2023 academic year...
Office Hour(s)
Tuesday, Ataköy, 3B 08-10, 18.00-21.00
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
-
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
Applies mathematical and social knowledge to Business problems.
PO-2
Defines the basic information related to other disciplines (economics, sociology, psychology, numerical sciences, etc.) that form the basis of business management and uses this information in the field of business administration.
PO-3
Explain the basic information in the field of business functions and management (management, production, marketing, accounting, finance, HRM, behavior, etc.), interpret the theoretical discussions covering the relations between the actors and cultures in this field.
PO-4
Determines and applies how the theoretical and practical knowledge and skills gained in the field of business are used in research, application and field analysis.
PO-5
Defines and evaluates activities and relationships in business-related fields; solve problems by defining, modeling and commenting.
PO-6
Designs and evaluates every stage of a process related to business functions in line with a defined goal.
PO-7
Conveys the current developments in the field of business and the projects carried out with appropriate communication tools to groups in and outside the field by supporting them with quantitative and qualitative data.
PO-8
Leads in environments that require the resolution of problems related to the field of humanities; organizes personal, corporate and team work at the level of expertise
PO-9
By introducing scientific, cultural and artistic developments in the field of humanities, it contributes to the process of becoming an information society of the society in which it lives and maintains it.
PO-10
Gains effective oral and written communication skills in Turkish and English in academic and professional fields.
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.