Graduate Study - Faculty of Economics and Social Sciences
PhD Management

Code Name Level Year Semester
MAN 630 Quantitative Research Methods Graduate 1 Spring
Status Number of ECTS Credits Class Hours Per Week Total Hours Per Semester Language
Non-area Elective 6 2 + 2 142 English

Instructor Assistant Coordinator
Zafer KONAKLI, Assist. Prof. Dr. Ali GĂ–KSU, Assoc. Prof. Dr.
[email protected] [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. Introduction, Organizing and Visualizing Data
  2. Numerical Descriptive Measures
  3. Basic Probability, Discrete Probability Distributions
  4. The Normal Distribution and Other Continuous Distributions
  5. Sampling and Sampling Distributions
  6. Confidence Interval Estimation
  7. Fundamentals of Hypothesis Testing: One-Sample Tests
  8. Two-Sample Tests
  9. Analysis of Variance
  10. Chi-Square Tests and Nonparametric Tests
  11. Simple Linear Regression
  12. Multiple Regression
  13. Time-Series Forecasting
  14. Statistical Applications in Quality Management
  15. A Roadmap for Analyzing Data


    • Practical Sessions
    • Excersises
    • Presentation
    • Assignments
    • Case Studies
    Description (%)
    Method Quantity Percentage (%)
    Term Paper25
    Final Exam150
    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.
    • Basic Business Statistics: Concepts and Applications, 12th edition (2012), David Levine, Mark Berenson, and Tim Krehbiel, ISBN 10: 0-13-216838-3, ISBN 13: 978-0-13-216838-0 Prentice Hall.

    ECTS (Allocated based on student) WORKLOAD
    Activities Quantity Duration (Hour) Total Work Load
    Lecture (14 weeks x Lecture hours per week)14342
    Laboratory / Practice (14 weeks x Laboratory/Practice hours per week) 0
    Midterm Examination (1 week)133
    Final Examination(1 week)133
    Preparation for Midterm Examination11212
    Preparation for Final Examination11717
    Assignment / Homework/ Project10550
    Seminar / Presentation11515
    Total Workload: 142
    ECTS Credit (Total workload/25): 6