Statistics II


  • GENERAL
SCHOOL Faculty of Social, Political and Economic Sciences
ACADEMIC UNIT Department of Economics
LEVEL OF STUDIES Undergraduate
COURSE CODE NK32 SEMESTER 3rd
COURSE TITLE Statistics II
INDEPENDENT TEACHING ACTIVITIES

 

WEEKLY TEACHING HOURS CREDITS
4 6
COURSE TYPE

general background,
special background, specialised general knowledge, skills development

Core
PREREQUISITE COURSES:

 

LANGUAGE OF INSTRUCTION and EXAMINATIONS: HELLENIC
IS THE COURSE OFFERED TO ERASMUS STUDENTS YES (ESSAY IN ENGLISH)
COURSE WEBSITE (URL) http://www.econ.duth.gr/undergraduate/lessons/c1.shtml

 

  • LEARNING OUTCOMES
Learning outcomes
 
The course’s objective is the learning and use of basic statistical inference tools.

 

Correlation of the course with the Department’s subject

The Department of Economics aims to study and promote economic science. It offers all those theoretical and quantitative tools that allow the understanding of the economic environment based on two axes: The first concerns the operation of the financial system and therefore monitors the development of economic theories and models. The second is the scientifically correct positions and proposals for achieving certain objectives regarding the equitable and efficient organization of the economic system. This is directly related to the knowledge of statistical inference methodologies, thus supporting inference about a population’s properties and presenting relevant data samples.

This course will develop students’ skills to solve problems, to use and process quantitative data and their analytical and inductive thinking ability.

General Competences
 

·         Search for, analysis and synthesis of data and information, with the use of the necessary technology

·         Adapting to new situations

·         Decision-making

·         Production of free, creative and inductive thinking

 

  • SYLLABUS
• Estimation
• Confidence Intervals
• Hypothesis Testing
• Simple Linear Regression
• Analysis of Variance
• Elements of nonparametric statistics
  • TEACHING and LEARNING METHODS – EVALUATION
DELIVERY Face-to-face lectures
USE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY Utilization of eclass.duth.gr
TEACHING METHODS

 

Activity Semester workload
Lectures 52 hours
Study 98 hours
Course total 150 hours
STUDENT PERFORMANCE EVALUATION WRITTEN EXAMS AT THE END OF THE SEMESTER
  • ATTACHED BIBLIOGRAPHY
1.       Στατιστική για οικονομικά και διοίκηση επιχειρήσεων, G. Keller, 2010. ΕΚΔΟΣΕΙΣ ΕΠΙΚΕΝΤΡΟ Α.Ε.

2.       Στατιστική σκέψη στον κόσμο των επιχειρήσεων, A. Aczel, J. Sounderpandian, 2011. BROKEN HILL PUBLISHERS LTD.

3.       Στατιστικοί μέθοδοι Ανάλυσης για Επιχειρηματικές Αποφάσεις, I. Χαλικιάς, 2009. ROSILI ΕΜΠΟΡΙΚΗ – ΕΚΔΟΤΙΚΗ Μ.ΕΠΕ

4.    Στατιστική με εφαρμογές στα Οικονομικά, Ε. Τσιώνας, 2009. ΕΤΑΙΡΕΙΑ ΑΞΙΟΠΟΙΗΣΗΣ ΚΑΙ ΔΙΑΧΕΙΡΙΣΗΣ ΤΗΣ ΠΕΡΙΟΥΣΙΑΣ ΤΟΥ ΟΙΚΟΝΟΜΙΚΟΥ ΠΑΝΕΠΙΣΤΗΜΙΟΥ ΑΘΗΝΩΝ ΑΕ.