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Quantitative Methods

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Additional Info

  • Type of Module/Course: Prescribed Core Module
  • Level of Module / Course: Postgraduate Course
  • Year of Study: 1st
  • Semester: Winter Semester
  • Number of credits allocated: 4,5 ECTS
  • Number of teaching units: 3
  • Name of lecturer / lecturers: V.A. Angelis & M.P. Ntoumi
  • Content outline:

    The main objective of the course is to present the basic theoretical concepts of Statistics and statistical methods. Statistics is defined as the science that deals with the collection, presentation, processing, analysis and interpretation of data derived from observations or measurements, involving properties of natural, economic or social phenomena. Businesses and organizations operate in a dynamically changing environment. Especially after the developments of recent years in the international economic area and information technology and communications, changes in this environment are rapid. Consequently, various businesses decisions in companies and organizations depend on a multitude of factors and are taken under time pressure and uncertainty. Improving the quality of these decisions requires a thorough analysis of data are available. The science of statistics and techniques of statistical analysis are valuable tools to support those decisions. In recent years Statistics has been making great progress and is applied in many scientific areas including and Business Administration

  • Learning outcomes:

    Upon completion of the learning process the  graduate student will be able:

    • to understand the basic methods of quantitative analysis
    • to understand their application to real market data
    • to understand their application through the statistical package SPSS
    • to use basic methods of quantitative analysis and in solving various quantitative problems related to the tourism sector.
  • Prerequisites:

    Adequate knowledge in Mathematics (basic level).

  • Module Contents (Syllabus):
    1st Session:
    • Introduction to Statistics
    • Data Summary: Graphic and Numerical Methods
    • Introduction to Probability Theory
    • Random Variables - Probability Distribution
    • Theoretical Distributions
    • Confidence Intervals
    • Hypothesis Testing
    • Simple Linear Regression and Correlation
    • Time Series Analysis and Forecasting
  • Recommended Reading:
    Α) Principal Reference:
    • Angelis V., & Dimaki K., Statistics, Volume I, Ed. Sofia, Thessaloniki, 2011 (in greek)
    • Angelis, V., Statistics II, University lectures, Chios, 2004 (in greek)
    Β) Additional References:
    • Aczel, A. D. and Sounderpandian, J., Complete Business Statistics, McGraw – Hill & Irwin, 2002
    • Anderson, D.R., Sweeney, D.J. and Williams., T.A. Statistics for Business and Economics, West Publishing Company, Minneapolis, 1993.
    • Berenson, M. L., Levine, D. M. and Krehbiel, D. C., Basic Business Statistics. Concepts and Applications, Prentice – Hall Inc. New Jersey 2002
    • Chatzinikolaou, D., Statistics for Economists, Ioannina 2002. (in greek)
    • Ioannides, D.A., Statistical Methods, Volume I, Ziti, Thessaloniki, 2001. (in greek)
    • Kalamatianou, A. G., Social Statistics: Methods One-dimensional Analysis, Publications "The value", Athens, 1992. (in greek)
    • Kintis, A., Modern Statistical Analysis, Ed. Gutenberg, Athens, 1995. (in greek)
    • Lucas, WF, Statistics, McGraw-Hill 2003. (in greek)
    • Levine, D.M., Berenson, M.L. and Stephan, D. Statistics for Managers, Prentice-Hall Inc.New Jersey, 1999.
    • Panaretos, I. and Xekalaki, E., Introduction to Statistical Thought, Volume I, Athens, 1993. (in greek)
    • Panaretos, I. and Xekalaki, E., Introduction to Statistical Thinking, Volume II, Athens, 2000. (in greek)
    • Zacharopoulos, X., Statistics: Methods - Applications, Thessaloniki 1998-2009. (in greek)
  • Learning activities and Teaching Methods:
    • Lectures
    • Notes on e class
    • Case Studies
    • Tutorials
  • Assessment/Grading Methods:
    • Computer Lab Test (20%)
    • Final Written Test (80%)
  • Language of Instruction: Greek
  • Mode of delivery: Face to face
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