Computer assisted Statistics

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Course ID:

ECO_222

Semester: 4th

Year of Study:

For Erasmus Students: Όχι

Learning Outcomes

The aim of the course is to apply the basic statistical methods and techniques using the possibilities offered by the SPSS statistical software. The emphasis is on selecting the appropriate statistical method and on interpreting the results.

After completing the course, the student will be able to:

  • manage statistical data and perform statistical analysis using SPSS
  • decide on the most appropriate statistical method for describing and analyzing data
  • check the assumptions and apply the statistical techniques
  • choose and create the right statistical graph
  • to interpret SPSS results

Course Contents

  • The Basics of SPSS
  • Statistical data sources – Questionnaires– Coding – Detailed Statistical Tables – Data creation in SPSS and data cleaning
  • Analyzing data sets using SPSS: Univariate Descriptive Statistics – Relationship between two variables –  Τ-tests and Confidence Intervals – Chi square tests – Analysis of Variance
  • Graphical Displays – Checking normality

Teaching Activities

Lectures  and Laboratory work (4 hours per week)

Teaching Organization

Activity

Semester workload

Lectures

26  hours

Laboratory work

26  hours

Self-study and homework exercises

98 hours

Total number of hours for the Course (25 hours of work-load per ECTS credit)

150 hours (total student work-load)

Assessment

Assessment:

  • Written exam at the end of the semester
  • Homework exercises (it is optional and count for 20% of the final grade)

Use of ICT

  • Use of e-class to support teaching, laboratory work and communication with students.
  • Use of SPSS Statistical software.

Teaching Hours: 4

ECTS Credits: 6

Teaching Credits: 3

Weight: 1.5

Type:

Language: Ελληνική

Teaching Method: Πρόσωπο με πρόσωπο

General Competences: Αναζήτηση, ανάλυση και σύνθεση δεδομένων και πληροφοριών, με τη χρήση και των απαραίτητων τεχνολογιών, Αυτόνομη εργασία, Ομαδική εργασία, Προαγωγή της ελεύθερης, δημιουργικής και επαγωγικής σκέψης

Professor
Dimara

Γνωστικό Αντικείμενο: Applied Statistics and Data Analysis

Οργανική Μονάδα / Εργαστήριο:

Τηλέφωνο: +30 2610 962596

Ώρες γραφείου: Wed 13:00 - 14:00 Thu 13:00 - 14:00

eclass URL: e-class