Graduate Study - Faculty of Economics and Social Sciences
PhD Management

Code Name Level Year Semester
BUS 661 Quantitative Research Methods Graduate 1 Fall
Status Number of ECTS Credits Class Hours Per Week Total Hours Per Semester Language
7.5 161 English

Instructor Assistant Coordinator
Ali GÖKSU, Assoc. Prof. Dr. Ali GÖKSU, Assoc. Prof. Dr.
[email protected] no email

This course is designed to provide an introduction to statistical methods useful for analyzing data, with specific application to problems of business and economics. The methods examined, however, have general application to a wide range of data analysis. At the end of the class, you will:
(1) understand the fundamentals of uncertainty and risk management,
(2) know how to use methods for estimation and forecasting,
(3) be able combine knowledge of risk and estimation in optimization, and
(4) know how to use the tools of statistical inference.
You will also be expected to learn how to use statistics to think critically about real world issues. Statistical methodology and theory will be presented in an applications context. Ultimately, the goal is to provide you with quantitative tools that can be used in the areas of marketing, financial and managerial accounting, corporate finance, and applied operational methods.

  1. Statistics, Data and Descriptive statistic
  2. Probability
  3. Random Variables and Probability Distributions
  4. Sampling and Estimation
  5. Hypothesis Testing
  6. Two Sample Hypothesis Tests
  7. Analysis of Variance
  8. Data Analysis
  9. Linear Regression
  10. Linear Regression
  11. Multiple Regression Model
  12. Methods for Quality Improvement
  13. Paper Presentations
  14. Paper Presentations


    • Lectures
    • Practical Sessions
    • Excersises
    • Presentation
    • Project
    • Assignments
    • Recitation
    Description (%)
    Method Quantity Percentage (%)
    Midterm Exam(s)130
    Term Paper1
    Final Exam140
    Total: 100
    Learning outcomes
    • To achieve an understanding of applied statistical and other quantitative methods in the solution of managerial decision making problems.
    • To provide enough illustrations of well-known models, so that a student can identify similar situations that may utilize quantitative methods.
    • To develop a basic proficiency in working with the more frequent decision making models.
    • To learn the mathematical language and notation, in order to facilitate communication with specialists.
    • To develop sufficient quantitative preparation for appreciating work done in this area.
    • Statistics for Business & Economics, 10th edition (2008), J. T. McClave, P. G. Benson and T. Sincich, ISBN 0132069733, Prentice Hall.

    ECTS (Allocated based on student) WORKLOAD
    Activities Quantity Duration (Hour) Total Work Load
    Lecture (14 weeks x Lecture hours per week)31648
    Laboratory / Practice (14 weeks x Laboratory/Practice hours per week)31648
    Midterm Examination (1 week)12020
    Final Examination(1 week)12525
    Preparation for Midterm Examination12020
    Preparation for Final Examination7.50
    Total Workload: 161
    ECTS Credit (Total workload/25): 6