| Title | ΕΦΑΡΜΟΣΜΕΝΗ ΣΤΑΤΙΣΤΙΚΗ ΕΡΕΥΝΑ / APPLIED STATISTICAL ANALYSIS |
| Code | 12ΕΣ04 |
| Faculty | Social and Economic Sciences |
| School | Economics |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Spring |
| Coordinator | Evangelos Ioannidis |
| Common | Yes |
| Status | Active |
| Course ID | 100001500 |
Programme of Study: UPS School of Economics (2013-today)
Registered students: 0
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| ECONOMICS | Elective Course belonging to the selected specialization (Elective Specialization Course) | 8 | 4 | 3 |
| BUSINESS ADMINISTRATION | Elective Courses belonging to the other | 8 | 4 | 3 |
| Academic Year | 2017 – 2018 |
| Class Period | Spring |
| Faculty Instructors | |
| Class ID | 600098802
|
Course Type 2016-2020
- General Knowledge
- Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600098802
- At the Website of the School: http://users.auth.gr/~cemman/teaching/AppStats/default.html
Language of Instruction
- Greek (Instruction, Examination)
Learning Outcomes
Familiarization with more advanced statistical techniques for economic research. Mastering 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
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | ✓ | ||||
| Laboratory Work | ✓ | ||||
| Interactive Teaching in Information Center | ✓ | ||||
| Written assigments | ✓ | ||||
| Total |
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
02-09-2015