APPLIED STATISTICAL ANALYSIS

Course Information
TitleΕΦΑΡΜΟΣΜΕΝΗ ΣΤΑΤΙΣΤΙΚΗ ΕΡΕΥΝΑ / APPLIED STATISTICAL ANALYSIS
Code12ΕΣ04
FacultySocial and Economic Sciences
SchoolEconomics
Cycle / Level1st / Undergraduate
Teaching PeriodSpring
CoordinatorEvangelos Ioannidis
CommonYes
StatusActive
Course ID100001500

Programme of Study: UPS School of Economics (2013-today)

Registered students: 53
OrientationAttendance TypeSemesterYearECTS
OIKONOMIASElective Course belonging to the selected specialization (Elective Specialization Course)843
DIOIKĪSĪ EPICΗEIRĪSEŌNElective Courses belonging to the other843
Class Information
Academic Year2022 – 2023
Class PeriodSpring
Faculty Instructors
Weekly Hours3
Class ID
600227008
Course Type 2021
Specialization / Direction
Course Type 2016-2020
  • General Knowledge
  • Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
Language of Instruction
  • Greek (Instruction, Examination)
Learning Outcomes
After the successful completion of the course, students will be able to know and apply more advanced statistical techniques (statistical analysis of two or more variables) as well as to easily handle the SPSS statistical software for data analysis.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Make decisions
  • Work autonomously
  • Work in teams
  • Advance free, creative and causative thinking
Course Content (Syllabus)
- Introduction to SPSS. - Data collection methods - Univariate statistical techniques: descriptive analysis, estimation and one-sample tests of hypotheses. - Bivariate statistical techniques: descriptive analysis, two-sample comparisons, bivariate relationships, inference. - Statistical models for the relationship of one response variable with one or more explanatory variavles: analysis of variance, regression models for quantitative response variables, Logit and Probit models for qualitative response variables.
Educational Material Types
  • Notes
  • Slide presentations
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
Description
- Powerpoint presentations - Statistical software (SPPS) at the Lab - Course webpage with supplementary teaching material
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures341.2✓
Laboratory Work200.7✓
Interactive Teaching in Information Center100.4✓
Written assigments200.7✓
Total843
Student Assessment
Description
Written examination at the end of the semester. Laboratory exercises.
Student Assessment methods
  • Written Exam with Short Answer Questions (Summative)
  • Labortatory Assignment (Summative)
Bibliography
Course Bibliography (Eudoxus)
- Howitt D., Cramer D., «Στατιστική με το SPSS 16», εκδ. Κλειδάριθμος, Αθήνα 2010. - Συμεωνάκη Μ. «Στατιστική ανάλυση κοινωνικών δεδομένων με το SPSS 15», εκδ. Σοφία, Θεσσαλονίκη 2008
Additional bibliography for study
- Marija J. Norusis, «Οδηγός ανάλυσης δεδομένων με το IBM SPSS 19.0», Εκδόσεις Kλειδάριθμος, Αθήνα 2011. - Ν.Τσάντας - Π.Μωυσιάδης - Κ.Μπαγιάτης - Θ.Χατζηπαντελής, «Ανάλυση δεδομένων με τη βοήθεια στατιστικών πακέτων SPSS, Excel, S-Plus», Εκδόσεις Ζήτη, Θεσσαλονίκη 1999. - Field, A. “Discovering Statistics Using SPSS”, SAGE 2009. - Kerr, Alistair W., Hall, Howard K., Kozub, Stephen, “Doing statistics with SPSS”, SAGE, 2002 - Carver, Robert H., Nash, Jane Gradwohl., “Doing data analysis with SPSS 12.0”, Thomson – Brooks – Cole Publishers, 2005
Last Update
25-02-2023